Sessions :: List of all the talks at GIDS 2026

Images carry meaning, but that meaning is often lost for people who rely on alternative text. While AI is widely used to generate images from prompts, its role ...

The Goal: Flow Architecture

ArchitectureDataTech

When Eliyahu Goldratt wrote The Goal, he revealed how local optimizations, such as adding automation to one part of a process, can harm overall performance. Tod...

Your Users Are Not Just Human: Designing Systems for People and LLMs

FrontEndArchitectureDeepTech

Guust Ysebie

Accessibility has often been treated as a usability feature or a compliance requirement, important but secondary. In AI-driven systems, that assumption no longe...

Architecting Microservices for Agentic AI Integration

ArchitectureOpsTech DeepTech

Autonomous LLM agents plan, retry, chain calls, and orchestrate work across services. This changes core assumptions behind microservice design, boundaries, and ...

A Practical Introduction to LangChain4j

BackEndArchitectureDeepTech

Interested in adding AI capabilities to your Java applications? LangChain4j makes it simple to integrate large language models (LLMs) directly into your existin...

Building Adaptive ETL Pipelines with Apache NiFi, LLMs, and Apache Iceberg

DataTech OpsTech Architecture

Kamesh Sampath

Organizations repeatedly face the same data integration challenge: many data sources, inconsistent schemas, and extensive manual effort to transform data into a...

Enterprise Architecture 2026–2028: AI-Native, Agentic, and Governed

ArchitectureDeepTech OpsTech

Enterprise architecture is entering a new era defined by agentic AI, AI governance, confidential computing, and post-quantum cryptography (PQC), while sustainab...

The AI-Native Codebase

DeepTech BackEnd

AI coding agents are now a default part of everyday software development, yet many teams struggle to use them reliably at scale. While AI can generate code quic...

Refactoring to Modernize Java Applications

BackEndOpsTech

Stephen Chin Cassandra Chin

Refactoring is essential for maintaining and modernizing Java applications, yet it often feels slow, risky, and time-consuming. While IDEs offer powerful refact...

Goodbye Microservices, Hello Self-Contained Systems

ArchitectureTechLead

Simon Martinelli

Microservices promised scalability and agility, but for many teams, they have introduced operational overhead, complex debugging, and fragmented ownership. What...

Computer Programming is Dead; Long Live AI-First Programming

DeepTech TechLead

The job market for computer science graduates is shifting rapidly, revealing a growing gap between academic training and industry expectations. Traditional prog...

3rd Generation Agentic AI

DeepTech

AI models are advancing rapidly, yet the systems around them remain fragile. Each backend change risks breaking an AI client, while on the web, servers evolve s...

From Noise to Signal: Using MCP Servers for AI-Driven Alerting and Monitoring

ArchitectureOpsTech DeepTech

Devyani Kota

Traditional monitoring and alerting systems generate too much noise and too little insight. They detect issues but often miss the context that matters most. The...

Beyond Transformers: State Space Models as the Next Paradigm in AI

DataTech DeepTech Emtech

Badri Narayana Patro

State space models (SSMs) are emerging as a compelling alternative to transformer-based architectures, providing a mathematically grounded and computationally e...

Simpler Java Build Tools with Object-Oriented Programming

BackEndOpsTech Architecture

Haoyi Li

Java as a language is fast, expressive, and well-supported by IDEs, but the same cannot always be said of its build tools. Why is build tooling such a challengi...

The Architect’s Dilemma: Control vs Convenience

Architecture

Few decisions challenge software architects more than choosing between control and convenience. Should you host PostgreSQL on EC2 for full control, use Amazon R...

Tuning the JVM for Performance: 10 Optimizations Every Developer Should Know

BackEndArchitecture

Gireesh Punathil

Significant performance gains, often 10 to 40 percent, can be unlocked in Java workloads without touching a single line of source code. The JVM comes packed wit...

Power and Perils of Vibe Coding

DeepTech TechLead

Vibe coding uses intuition, AI assistance, or rapid iteration to build software without traditional design formality. It can feel liberating and fast, but it co...

Keep It Dull, Keep It Running: Runbooks and the Religion of Boring Platforms

ArchitectureOpsTech

Prerit Munjal

Nobody dreams of a platform that is exciting at 2 a.m. In incident management, boring is beautiful. When the pager goes off, what matters most is not innovation...

Orchestrating Thousands of GPUs: Engineering Patterns for Large-Scale Model Training

ArchitectureDeepTech OpsTech

Krishnaswamy Subramanian

Training large AI models requires more than raw compute. It demands careful orchestration of multi-node GPU systems, robust communication, and disciplined e...

Developers: Contribute to Java Now!

TechLead

Jim Grisanzio

The Java ecosystem thrives because of a global community built on collaboration, mentorship, and contribution. With over 30 years of continuous innovation and m...

A Tale of Two Systems: Design and Reality

ArchitectureTechLead

Every architect knows the feeling: the system you designed and the one that was actually built rarely look the same. In fast-moving environments, where speed of...

Searching for Truth in the Age of Maybe

TechLead

For decades, software systems were built on certainty: declarative programming, deterministic logic, and tests that guaranteed repeatable outcomes. Correctness ...

Creating Architectures with the Aid of AI

ArchitectureDeepTech

The excitement around AI continues to grow, but can AI actually help us create software architectures? This session explores the opportunities and risks of usin...

Agentic RAG in Production: Orchestration, Evaluation, and ROI

DeepTech DataTech

Many RAG initiatives stall after early demos because they hallucinate, break under orchestration, or fail to show measurable business value. This session introd...

Data Architecture for AI

DataTech DeepTech

AI conversations often focus on models, yet the real foundation of intelligence lies in data architecture. Modern AI systems remain fragile because they lack co...

AI Inference at Scale: Reliability, Observability, Cost, and Sustainability

DataTech OpsTech Architecture

AI inference has become the new production workload: always on, cost-intensive, and increasingly complex. Teams face unpredictable latency spikes, runaway GPU c...

Discover Finland: A Look into Innovation, Technology, and Work Culture

TechLead

Anil Talwani

Finland consistently ranks among the world’s most innovative and technologically advanced nations, leading the way in AI, IoT, fintech, sustainable data soluti...

AI-First Software Delivery: Superpowers, Adoption Challenges, and the Path to Software 3.0

DeepTech ArchitectureOpsTech

AI is reshaping the entire software delivery value chain, from market research and ideation to coding, deployment, and operations. This session explores what it...

The Past, Present, and Future of Null-Safety in Java

BackEndArchitecture

Mala Gupta

NullPointerExceptions have long been a source of frustration for Java developers, turning minor oversights into production issues. Null-safety in Java, however,...

Intelligent Java Apps: Agent Patterns, MCP, and the Future of AI-Native Design

ArchitectureDeepTech BackEnd

As AI moves from experimentation to production, Java developers face a new paradigm: building intelligent, context-aware systems that can reason, interact, and ...

Agents in Action: Building Autonomous Java Systems That Don’t Break in Production

DeepTech BackEnd

Agent frameworks promise reasoning and autonomy, but enterprise environments demand more than impressive demos, they require reliability, observability, and con...

Context Management for Everyday Software Development

DeepTech Architecture

AI coding agents are now widely used by software developers, but they introduce a subtle and often overlooked problem. The chat-style interface encourages human...

Architectural Decision Records: The Why and How

ArchitectureTechLead

Software development is filled with decisions, and over time, it is easy to forget why those decisions were made. Architectural Decision Records (ADRs) provide ...

Human-AI Collaboration: Making Prudent Use of AI in Development

DeepTech TechLead

AI offers tremendous potential, but using it wisely is essential for both developers and organizations. This workshop begins with a brief discussion on the ethi...

Responsible GenAI for Java Developers: Fast Doesn’t Mean Reckless

BackEndArchitectureTechLead

As generative AI capabilities accelerate, the real challenge for enterprise teams isn’t building faster, it’s building responsibly. This session focuses on how ...

Building a Global HR Policy Assistant with GraphRAG: A Beginner’s Guide

DataTech ArchitectureDeepTech

Puneet Garg

Global HR policy automation is a key part of Human Capital Management transformation, yet employees often struggle to get clear and timely answers to policy que...

Asynchronous Programming in Spring: Past to Present

BackEndArchitecture

Building scalable Spring applications often depends on choosing the right approach to asynchronous programming. In the past, developers relied heavily on Reacti...

Hands-on Unit Testing with JUnit 5/6

BackEndOpsTech TechLead

Chandra Guntur

Unit testing remains one of the most effective ways to ensure code quality and maintainability, and JUnit continues to be Java’s most trusted framework for it. ...

Innovation: Why the Majority Is Always Wrong

TechLead DeepTech

If everyone agrees with you, you are probably not innovating, you are conforming faster. History’s real breakthroughs did not come from consensus but from heret...

Prototype to Production: Building Enterprise MCP and AI Agents with Templates

OpsTech DeepTech Architecture

Tuhin Sharma

More than 95 percent of GenAI pilots fail to reach production not because of capability, but because of missing engineering discipline. This session presents a ...

The Intersection of Architecture and AI

ArchitectureDeepTech TechLead

Will Generative AI replace software architects? The short answer is no. The longer answer is that it depends on how architects use it. This keynote examines the...

Gearing Up to Java 25: Key Language Features

BackEndArchitecture

Once known for its slow evolution, Java has transformed into a fast-moving, forward-looking language. With frequent, incremental releases, it continues to deliv...

Architecture in the Age of AI

ArchitectureDeepTech

As code generation becomes increasingly automated, the role of developers and architects is changing. The challenge is no longer about making AI write more code...

From Brute Force to Brilliance: A 7-Step Framework for Algorithmic Thinking

BackEndTechLead DeepTech

Coding interviews and production systems share a common challenge: turning vague problems into correct, efficient, and explainable solutions. This session prese...

Building LLM-Powered Agents with Real-Time Reasoning Loops

DeepTech Architecture

Generative AI systems are evolving beyond single-shot prompts toward closed-loop reasoning, a structured process of planning, acting, observing, reflecting, and...

Building AI Agents with Spring and MCP

DeepTech BackEndArchitecture

James Ward Varsha Das

Integrating AI into enterprise systems has traditionally been complex and specialized, but new tools are changing that. Spring AI and the Model Context Protocol...

Putting the Human in the Center of Your AI Efforts

TechLead DeepTech

Tiankai Feng

AI technologies are advancing rapidly, yet many organizations still struggle to turn them into meaningful value. At the same time, people remain uncertain and w...

Finding and Fixing Issues with Legacy Code using AI

ArchitectureDeepTech OpsTech

Every developer eventually faces the challenge of maintaining legacy code: systems written by others, often under time pressure, and difficult to understand or ...

GraphRAG and Explainable AI: Building Trustworthy LLM Outputs

DeepTech DataTech

Most enterprise LLM failures are not technical, they are trust failures. Models hallucinate, lose alignment with source truth, or generate answers with no trace...

7 Technology Trends That You Need to Know

ArchitectureTechLead Emtech

AI is transforming software and systems at every layer, but real mastery lies in understanding the deeper shifts shaping this new stack. This talk explores seve...

From Props to Prompts – Bridging React and AI Workflows

FrontEndDeepTech Architecture

React has long been built on the idea of props, static inputs passed at build time to define component behavior. But in a world of adaptive, AI-driven applicati...

Browsing the Web with Your Eyes Closed

FrontEndTechLead

For millions of people, using the web does not involve looking at a screen. Screen readers turn text into speech and allow users to shop, read, learn, and navig...

Granularity and Communication in Microservices Architectures

ArchitectureBackEnd

Many teams understand how to structure microservices but struggle with how those services should communicate. The result is often a distributed “Big Ball of Mud...

Creating Evolutionary Architecture

Architecture

How should architecture evolve as requirements change? A good architecture must stay relevant to the application it serves, but knowing when and what to adapt i...

How Google Built a Consistent, Global Authorization System, and You Can Too!

ArchitectureBackEnd

Google Zanzibar is the global authorization service that powers access control across products like Google Docs, YouTube, and Cloud IAM. Designed to handle more...

The Digital Workflow is Obsolete: How to Survive the End of the Canvas

FrontEndArchitectureDeepTech

Robin Cannon

The way digital products are designed and delivered is changing fast. The traditional canvas-to-code model, where visual mockups are handed off to engineers, is...

Practical Python AI in Java with GraalPy

BackEndArchitectureDeepTech

Sachin Pikle

AI innovation in the Java ecosystem is accelerating through projects like LangChain4j, Spring AI, and llama3.java, yet Python remains the powerhouse for AI, mac...

Lost Developer Wisdom

TechLead

In our rush toward the future, the software industry often forgets its past, and the lessons that came with it. In this live storytelling session, Michael Cardu...

Harnessing Event-Driven and Multi-Agentic Approaches for Efficient AI Data Flows

DeepTech ArchitectureBackEnd

Generative AI applications excel at isolated tasks like zero-shot and one-shot problem solving, but struggle with the complexity of real-world business workflow...

Shaping Intelligent APIs: Scaling LLMs, Open Ecosystems, Enterprise AI

ArchitectureDeepTech TechLead

As Large Language Models (LLMs) become core to enterprise transformation, the ability to design and scale AI-powered APIs has never been more crucial. In this s...

Lessons from Building Deep Research Agents in Production

BackEndDeepTech DataTech

Sarang Kulkarni

Deep research is complex. Data is scattered across systems, insights are buried in text and tables, and most LLM demos stop at shallow Q&A. In production enviro...

AI-First Repositories: Architecting Your Codebase for AI Collaboration

ArchitectureDeepTech

Prithveesh Goel

AI code assistants often fall short not because the technology is weak, but because they lack access to the context developers rely on. This session introduces ...

How to Be Indispensable in a Post-AI World

DeepTech TechLead

AI will not take all developer jobs, but it will transform them. Generative AI is already reshaping software development by automating the easiest part of the w...

Spring into AI

DeepTech ArchitectureBackEnd

If you are building applications with Spring and want to integrate AI capabilities, this session offers a practical, example-driven introduction to Spring AI. Y...

Who Owns the Code That AI Writes

ArchitectureFrontEndDeepTech

With more than 80 AI coding tools available today, and projections exceeding 270 by 2027, product managers, designers, and other “citizen engineers” can now gen...

From Paper to Pixels to Pipelines

DataTech Architecture

Abinaya Balan Vidya

Many organizations did not truly transform their document workflows. They moved paper into digital files and carried the same workflow problems forward. As docu...

Rethinking Engineering Roles As We Welcome Our Machine Overlords

TechLead DeepTech

AI is reshaping how software gets built. Designers, product managers, and even non-technical teams can now prototype, build, and ship without writing a single l...

How to Build a Completely Inaccessible Website

FrontEnd

This session takes a reverse engineering approach to web accessibility. It starts with a website that meets accessibility guidelines and passes audits, then sys...

It Works in the Demo. Will It Work in Production? Evaluating and Debugging AI Agents

DeepTech ArchitectureTechLead

An agent that performs well in a demo still faces a harder test in production, where real users, changing prompts, and unstable tools expose hidden weaknesses. ...

Context Engineering: Connecting the Dots with Graphs

DeepTech DataTech Architecture

Stephen Chin

AI systems require more than intelligence; they require context. Without it, even advanced models can misinterpret data, lose important details, or reach conclu...

Architecture as Code

ArchitectureOpsTech TechLead

Even the most well-designed architecture can fail when critical changes go unnoticed during implementation. The result is software that does not scale, is diffi...

Rethinking React Architecture - From Hooks to Remote Contexts

FrontEndArchitectureOpsTech

React’s context API, hooks, and Suspense work well for small to medium applications, but as systems grow across multiple micro-frontends, deployment cycles, and...

Modern Java Patterns in Practice: Records, Pattern Matching, and Switch (with Real Refactors)

ArchitectureBackEnd

Manoj Palat

Modern Java has evolved into a powerful language for expressive, concise, and safe code, thanks to Records, Pattern Matching, and the new Switch patterns. But u...

Develop Through Dialogue: Keeping Humans in the Loop

DeepTech TechLead

As AI becomes integral to software development, keeping humans actively involved is essential for ensuring ethical, accurate, and context-aware systems. This se...

The Winning Formula: Human Ingenuity Meets Software Development

TechLead

From pioneering “Moneyball” sports analytics to uncovering the stories of forgotten heroes through AI, Ari Kaplan has spent his career at the intersection of da...

From Black Box to Blueprint: AI-Assisted Legacy Reverse Engineering

DeepTech ArchitectureOpsTech

Thiyagu Palanisamy

Every enterprise has mission-critical legacy systems that no one fully understands anymore. Documentation is missing, experts have moved on, and every change fe...

Extending Functional Pipelines with Gatherers

BackEndArchitecture

The Java Stream API offers a rich set of operations, filter, map, takeWhile, limit, and many others, to create expressive functional pipelines. However, not eve...

Your API Is Not Ready for AI (Lifecycle Readiness Guide)

ArchitectureOpsTech DeepTech

APIs built for humans often break when consumed by AI agents. Documentation meant for developers does not help large language models (LLMs) or autonomous system...

How to Prevent AI Agents from Accessing Unauthorized Data

ArchitectureDeepTech

As AI systems move into production, data security and access control become critical. In the era of AI agents, enterprises must move beyond experimentation to D...

Taming Chaos: Deterministic Simulation Testing for Distributed Systems

ArchitectureOpsTech BackEnd

Unmesh Joshi

Testing distributed systems is notoriously difficult. Concurrency bugs, network partitions, and clock skew often lead to flaky tests and elusive failures that a...

Beyond Local Tools: Deep Dive into the Model Context Protocol (MCP)

DeepTech ArchitectureOpsTech

James Ward

The Model Context Protocol (MCP) is redefining how AI systems connect to external data, APIs, and tools, moving beyond local integrations toward secure, scalabl...

Distributed vs. Universal Data Model: Essentials for Distributed Architectures

ArchitectureDataTech

When transitioning from a monolith to a modular monolith or microservices architecture, breaking apart the codebase is challenging, but handling data is even ha...

The Art of Being an Architect

TechLead Architecture

The hardest part of software architecture is not the technology, it is the people. Every architecture succeeds or fails based on its ability to influence behavi...

Securing LLMs in Production: From OWASP Top-10 to Guardrails that Work

OpsTech ArchitectureDeepTech

Large Language Models have expanded what’s possible, and what’s vulnerable. New risks like prompt injection, data exfiltration, insecure plugin calls, and model...

Spring AI + MCP: Building the Missing Bridge Between Java Apps and AI Agents

BackEndDeepTech Emtech

Siva Katamreddy

The Model Context Protocol (MCP) is rapidly becoming the standard for connecting AI agents to external tools, APIs, and data sources. For Java developers, this ...

Rethinking Software: The AI-Native, Event-Driven, Multi-Agent Paradigm

ArchitectureDataTech DeepTech

Software is undergoing a foundational shift, from deterministic systems built through static pipelines to adaptive, event-driven networks orchestrated by intell...

Architecting for the Unknown

ArchitectureTechLead

In an environment of constant change and ongoing disruption, building systems that can adapt and endure is essential. This keynote explores the principles of ad...

You Can’t Spell “Alternative Text” without AI

FrontEndDeepTech TechLead

Images carry meaning, but that meaning is often lost for people who rely on alternative text. While AI is widely used to generate images from prompts, its role ...

The Goal: Flow Architecture

ArchitectureDataTech

When Eliyahu Goldratt wrote The Goal, he revealed how local optimizations, such as adding automation to one part of a process, can harm overall performance. Tod...

Your Users Are Not Just Human: Designing Systems for People and LLMs

FrontEndArchitectureDeepTech

Guust Ysebie

Accessibility has often been treated as a usability feature or a compliance requirement, important but secondary. In AI-driven systems, that assumption no longe...

Architecting Microservices for Agentic AI Integration

ArchitectureOpsTech DeepTech

Autonomous LLM agents plan, retry, chain calls, and orchestrate work across services. This changes core assumptions behind microservice design, boundaries, and ...

A Practical Introduction to LangChain4j

BackEndArchitectureDeepTech

Interested in adding AI capabilities to your Java applications? LangChain4j makes it simple to integrate large language models (LLMs) directly into your existin...

Building Adaptive ETL Pipelines with Apache NiFi, LLMs, and Apache Iceberg

DataTech OpsTech Architecture

Kamesh Sampath

Organizations repeatedly face the same data integration challenge: many data sources, inconsistent schemas, and extensive manual effort to transform data into a...

Enterprise Architecture 2026–2028: AI-Native, Agentic, and Governed

ArchitectureDeepTech OpsTech

Enterprise architecture is entering a new era defined by agentic AI, AI governance, confidential computing, and post-quantum cryptography (PQC), while sustainab...

The AI-Native Codebase

DeepTech BackEnd

AI coding agents are now a default part of everyday software development, yet many teams struggle to use them reliably at scale. While AI can generate code quic...

Refactoring to Modernize Java Applications

BackEndOpsTech

Stephen Chin Cassandra Chin

Refactoring is essential for maintaining and modernizing Java applications, yet it often feels slow, risky, and time-consuming. While IDEs offer powerful refact...

Goodbye Microservices, Hello Self-Contained Systems

ArchitectureTechLead

Simon Martinelli

Microservices promised scalability and agility, but for many teams, they have introduced operational overhead, complex debugging, and fragmented ownership. What...

Computer Programming is Dead; Long Live AI-First Programming

DeepTech TechLead

The job market for computer science graduates is shifting rapidly, revealing a growing gap between academic training and industry expectations. Traditional prog...

3rd Generation Agentic AI

DeepTech

AI models are advancing rapidly, yet the systems around them remain fragile. Each backend change risks breaking an AI client, while on the web, servers evolve s...

From Noise to Signal: Using MCP Servers for AI-Driven Alerting and Monitoring

ArchitectureOpsTech DeepTech

Devyani Kota

Traditional monitoring and alerting systems generate too much noise and too little insight. They detect issues but often miss the context that matters most. The...

Beyond Transformers: State Space Models as the Next Paradigm in AI

DataTech DeepTech Emtech

Badri Narayana Patro

State space models (SSMs) are emerging as a compelling alternative to transformer-based architectures, providing a mathematically grounded and computationally e...

Simpler Java Build Tools with Object-Oriented Programming

BackEndOpsTech Architecture

Haoyi Li

Java as a language is fast, expressive, and well-supported by IDEs, but the same cannot always be said of its build tools. Why is build tooling such a challengi...

The Architect’s Dilemma: Control vs Convenience

Architecture

Few decisions challenge software architects more than choosing between control and convenience. Should you host PostgreSQL on EC2 for full control, use Amazon R...

Tuning the JVM for Performance: 10 Optimizations Every Developer Should Know

BackEndArchitecture

Gireesh Punathil

Significant performance gains, often 10 to 40 percent, can be unlocked in Java workloads without touching a single line of source code. The JVM comes packed wit...

Power and Perils of Vibe Coding

DeepTech TechLead

Vibe coding uses intuition, AI assistance, or rapid iteration to build software without traditional design formality. It can feel liberating and fast, but it co...

Keep It Dull, Keep It Running: Runbooks and the Religion of Boring Platforms

ArchitectureOpsTech

Prerit Munjal

Nobody dreams of a platform that is exciting at 2 a.m. In incident management, boring is beautiful. When the pager goes off, what matters most is not innovation...

Orchestrating Thousands of GPUs: Engineering Patterns for Large-Scale Model Training

ArchitectureDeepTech OpsTech

Krishnaswamy Subramanian

Training large AI models requires more than raw compute. It demands careful orchestration of multi-node GPU systems, robust communication, and disciplined e...

Developers: Contribute to Java Now!

TechLead

Jim Grisanzio

The Java ecosystem thrives because of a global community built on collaboration, mentorship, and contribution. With over 30 years of continuous innovation and m...

A Tale of Two Systems: Design and Reality

ArchitectureTechLead

Every architect knows the feeling: the system you designed and the one that was actually built rarely look the same. In fast-moving environments, where speed of...

Searching for Truth in the Age of Maybe

TechLead

For decades, software systems were built on certainty: declarative programming, deterministic logic, and tests that guaranteed repeatable outcomes. Correctness ...

Creating Architectures with the Aid of AI

ArchitectureDeepTech

The excitement around AI continues to grow, but can AI actually help us create software architectures? This session explores the opportunities and risks of usin...

Agentic RAG in Production: Orchestration, Evaluation, and ROI

DeepTech DataTech

Many RAG initiatives stall after early demos because they hallucinate, break under orchestration, or fail to show measurable business value. This session introd...

Data Architecture for AI

DataTech DeepTech

AI conversations often focus on models, yet the real foundation of intelligence lies in data architecture. Modern AI systems remain fragile because they lack co...

AI Inference at Scale: Reliability, Observability, Cost, and Sustainability

DataTech OpsTech Architecture

AI inference has become the new production workload: always on, cost-intensive, and increasingly complex. Teams face unpredictable latency spikes, runaway GPU c...

Discover Finland: A Look into Innovation, Technology, and Work Culture

TechLead

Anil Talwani

Finland consistently ranks among the world’s most innovative and technologically advanced nations, leading the way in AI, IoT, fintech, sustainable data soluti...

AI-First Software Delivery: Superpowers, Adoption Challenges, and the Path to Software 3.0

DeepTech ArchitectureOpsTech

AI is reshaping the entire software delivery value chain, from market research and ideation to coding, deployment, and operations. This session explores what it...

The Past, Present, and Future of Null-Safety in Java

BackEndArchitecture

Mala Gupta

NullPointerExceptions have long been a source of frustration for Java developers, turning minor oversights into production issues. Null-safety in Java, however,...

Intelligent Java Apps: Agent Patterns, MCP, and the Future of AI-Native Design

ArchitectureDeepTech BackEnd

As AI moves from experimentation to production, Java developers face a new paradigm: building intelligent, context-aware systems that can reason, interact, and ...

Agents in Action: Building Autonomous Java Systems That Don’t Break in Production

DeepTech BackEnd

Agent frameworks promise reasoning and autonomy, but enterprise environments demand more than impressive demos, they require reliability, observability, and con...

Context Management for Everyday Software Development

DeepTech Architecture

AI coding agents are now widely used by software developers, but they introduce a subtle and often overlooked problem. The chat-style interface encourages human...

Architectural Decision Records: The Why and How

ArchitectureTechLead

Software development is filled with decisions, and over time, it is easy to forget why those decisions were made. Architectural Decision Records (ADRs) provide ...

Human-AI Collaboration: Making Prudent Use of AI in Development

DeepTech TechLead

AI offers tremendous potential, but using it wisely is essential for both developers and organizations. This workshop begins with a brief discussion on the ethi...

Responsible GenAI for Java Developers: Fast Doesn’t Mean Reckless

BackEndArchitectureTechLead

As generative AI capabilities accelerate, the real challenge for enterprise teams isn’t building faster, it’s building responsibly. This session focuses on how ...

Building a Global HR Policy Assistant with GraphRAG: A Beginner’s Guide

DataTech ArchitectureDeepTech

Puneet Garg

Global HR policy automation is a key part of Human Capital Management transformation, yet employees often struggle to get clear and timely answers to policy que...

Asynchronous Programming in Spring: Past to Present

BackEndArchitecture

Building scalable Spring applications often depends on choosing the right approach to asynchronous programming. In the past, developers relied heavily on Reacti...

Hands-on Unit Testing with JUnit 5/6

BackEndOpsTech TechLead

Chandra Guntur

Unit testing remains one of the most effective ways to ensure code quality and maintainability, and JUnit continues to be Java’s most trusted framework for it. ...

Innovation: Why the Majority Is Always Wrong

TechLead DeepTech

If everyone agrees with you, you are probably not innovating, you are conforming faster. History’s real breakthroughs did not come from consensus but from heret...

Prototype to Production: Building Enterprise MCP and AI Agents with Templates

OpsTech DeepTech Architecture

Tuhin Sharma

More than 95 percent of GenAI pilots fail to reach production not because of capability, but because of missing engineering discipline. This session presents a ...

The Intersection of Architecture and AI

ArchitectureDeepTech TechLead

Will Generative AI replace software architects? The short answer is no. The longer answer is that it depends on how architects use it. This keynote examines the...

Gearing Up to Java 25: Key Language Features

BackEndArchitecture

Once known for its slow evolution, Java has transformed into a fast-moving, forward-looking language. With frequent, incremental releases, it continues to deliv...

Architecture in the Age of AI

ArchitectureDeepTech

As code generation becomes increasingly automated, the role of developers and architects is changing. The challenge is no longer about making AI write more code...

From Brute Force to Brilliance: A 7-Step Framework for Algorithmic Thinking

BackEndTechLead DeepTech

Coding interviews and production systems share a common challenge: turning vague problems into correct, efficient, and explainable solutions. This session prese...

Building LLM-Powered Agents with Real-Time Reasoning Loops

DeepTech Architecture

Generative AI systems are evolving beyond single-shot prompts toward closed-loop reasoning, a structured process of planning, acting, observing, reflecting, and...

Building AI Agents with Spring and MCP

DeepTech BackEndArchitecture

James Ward Varsha Das

Integrating AI into enterprise systems has traditionally been complex and specialized, but new tools are changing that. Spring AI and the Model Context Protocol...

Putting the Human in the Center of Your AI Efforts

TechLead DeepTech

Tiankai Feng

AI technologies are advancing rapidly, yet many organizations still struggle to turn them into meaningful value. At the same time, people remain uncertain and w...

Finding and Fixing Issues with Legacy Code using AI

ArchitectureDeepTech OpsTech

Every developer eventually faces the challenge of maintaining legacy code: systems written by others, often under time pressure, and difficult to understand or ...

GraphRAG and Explainable AI: Building Trustworthy LLM Outputs

DeepTech DataTech

Most enterprise LLM failures are not technical, they are trust failures. Models hallucinate, lose alignment with source truth, or generate answers with no trace...

7 Technology Trends That You Need to Know

ArchitectureTechLead Emtech

AI is transforming software and systems at every layer, but real mastery lies in understanding the deeper shifts shaping this new stack. This talk explores seve...

From Props to Prompts – Bridging React and AI Workflows

FrontEndDeepTech Architecture

React has long been built on the idea of props, static inputs passed at build time to define component behavior. But in a world of adaptive, AI-driven applicati...

Browsing the Web with Your Eyes Closed

FrontEndTechLead

For millions of people, using the web does not involve looking at a screen. Screen readers turn text into speech and allow users to shop, read, learn, and navig...

Granularity and Communication in Microservices Architectures

ArchitectureBackEnd

Many teams understand how to structure microservices but struggle with how those services should communicate. The result is often a distributed “Big Ball of Mud...

Creating Evolutionary Architecture

Architecture

How should architecture evolve as requirements change? A good architecture must stay relevant to the application it serves, but knowing when and what to adapt i...

How Google Built a Consistent, Global Authorization System, and You Can Too!

ArchitectureBackEnd

Google Zanzibar is the global authorization service that powers access control across products like Google Docs, YouTube, and Cloud IAM. Designed to handle more...

The Digital Workflow is Obsolete: How to Survive the End of the Canvas

FrontEndArchitectureDeepTech

Robin Cannon

The way digital products are designed and delivered is changing fast. The traditional canvas-to-code model, where visual mockups are handed off to engineers, is...

Practical Python AI in Java with GraalPy

BackEndArchitectureDeepTech

Sachin Pikle

AI innovation in the Java ecosystem is accelerating through projects like LangChain4j, Spring AI, and llama3.java, yet Python remains the powerhouse for AI, mac...

Lost Developer Wisdom

TechLead

In our rush toward the future, the software industry often forgets its past, and the lessons that came with it. In this live storytelling session, Michael Cardu...

Harnessing Event-Driven and Multi-Agentic Approaches for Efficient AI Data Flows

DeepTech ArchitectureBackEnd

Generative AI applications excel at isolated tasks like zero-shot and one-shot problem solving, but struggle with the complexity of real-world business workflow...

Shaping Intelligent APIs: Scaling LLMs, Open Ecosystems, Enterprise AI

ArchitectureDeepTech TechLead

As Large Language Models (LLMs) become core to enterprise transformation, the ability to design and scale AI-powered APIs has never been more crucial. In this s...

Lessons from Building Deep Research Agents in Production

BackEndDeepTech DataTech

Sarang Kulkarni

Deep research is complex. Data is scattered across systems, insights are buried in text and tables, and most LLM demos stop at shallow Q&A. In production enviro...

AI-First Repositories: Architecting Your Codebase for AI Collaboration

ArchitectureDeepTech

Prithveesh Goel

AI code assistants often fall short not because the technology is weak, but because they lack access to the context developers rely on. This session introduces ...

How to Be Indispensable in a Post-AI World

DeepTech TechLead

AI will not take all developer jobs, but it will transform them. Generative AI is already reshaping software development by automating the easiest part of the w...

Spring into AI

DeepTech ArchitectureBackEnd

If you are building applications with Spring and want to integrate AI capabilities, this session offers a practical, example-driven introduction to Spring AI. Y...

Who Owns the Code That AI Writes

ArchitectureFrontEndDeepTech

With more than 80 AI coding tools available today, and projections exceeding 270 by 2027, product managers, designers, and other “citizen engineers” can now gen...

From Paper to Pixels to Pipelines

DataTech Architecture

Abinaya Balan Vidya

Many organizations did not truly transform their document workflows. They moved paper into digital files and carried the same workflow problems forward. As docu...

Rethinking Engineering Roles As We Welcome Our Machine Overlords

TechLead DeepTech

AI is reshaping how software gets built. Designers, product managers, and even non-technical teams can now prototype, build, and ship without writing a single l...

How to Build a Completely Inaccessible Website

FrontEnd

This session takes a reverse engineering approach to web accessibility. It starts with a website that meets accessibility guidelines and passes audits, then sys...

It Works in the Demo. Will It Work in Production? Evaluating and Debugging AI Agents

DeepTech ArchitectureTechLead

An agent that performs well in a demo still faces a harder test in production, where real users, changing prompts, and unstable tools expose hidden weaknesses. ...

Context Engineering: Connecting the Dots with Graphs

DeepTech DataTech Architecture

Stephen Chin

AI systems require more than intelligence; they require context. Without it, even advanced models can misinterpret data, lose important details, or reach conclu...

Architecture as Code

ArchitectureOpsTech TechLead

Even the most well-designed architecture can fail when critical changes go unnoticed during implementation. The result is software that does not scale, is diffi...

Rethinking React Architecture - From Hooks to Remote Contexts

FrontEndArchitectureOpsTech

React’s context API, hooks, and Suspense work well for small to medium applications, but as systems grow across multiple micro-frontends, deployment cycles, and...

Modern Java Patterns in Practice: Records, Pattern Matching, and Switch (with Real Refactors)

ArchitectureBackEnd

Manoj Palat

Modern Java has evolved into a powerful language for expressive, concise, and safe code, thanks to Records, Pattern Matching, and the new Switch patterns. But u...

Develop Through Dialogue: Keeping Humans in the Loop

DeepTech TechLead

As AI becomes integral to software development, keeping humans actively involved is essential for ensuring ethical, accurate, and context-aware systems. This se...

The Winning Formula: Human Ingenuity Meets Software Development

TechLead

From pioneering “Moneyball” sports analytics to uncovering the stories of forgotten heroes through AI, Ari Kaplan has spent his career at the intersection of da...

From Black Box to Blueprint: AI-Assisted Legacy Reverse Engineering

DeepTech ArchitectureOpsTech

Thiyagu Palanisamy

Every enterprise has mission-critical legacy systems that no one fully understands anymore. Documentation is missing, experts have moved on, and every change fe...

Extending Functional Pipelines with Gatherers

BackEndArchitecture

The Java Stream API offers a rich set of operations, filter, map, takeWhile, limit, and many others, to create expressive functional pipelines. However, not eve...

Your API Is Not Ready for AI (Lifecycle Readiness Guide)

ArchitectureOpsTech DeepTech

APIs built for humans often break when consumed by AI agents. Documentation meant for developers does not help large language models (LLMs) or autonomous system...

How to Prevent AI Agents from Accessing Unauthorized Data

ArchitectureDeepTech

As AI systems move into production, data security and access control become critical. In the era of AI agents, enterprises must move beyond experimentation to D...

Taming Chaos: Deterministic Simulation Testing for Distributed Systems

ArchitectureOpsTech BackEnd

Unmesh Joshi

Testing distributed systems is notoriously difficult. Concurrency bugs, network partitions, and clock skew often lead to flaky tests and elusive failures that a...

Beyond Local Tools: Deep Dive into the Model Context Protocol (MCP)

DeepTech ArchitectureOpsTech

James Ward

The Model Context Protocol (MCP) is redefining how AI systems connect to external data, APIs, and tools, moving beyond local integrations toward secure, scalabl...

Distributed vs. Universal Data Model: Essentials for Distributed Architectures

ArchitectureDataTech

When transitioning from a monolith to a modular monolith or microservices architecture, breaking apart the codebase is challenging, but handling data is even ha...

The Art of Being an Architect

TechLead Architecture

The hardest part of software architecture is not the technology, it is the people. Every architecture succeeds or fails based on its ability to influence behavi...

Securing LLMs in Production: From OWASP Top-10 to Guardrails that Work

OpsTech ArchitectureDeepTech

Large Language Models have expanded what’s possible, and what’s vulnerable. New risks like prompt injection, data exfiltration, insecure plugin calls, and model...

Spring AI + MCP: Building the Missing Bridge Between Java Apps and AI Agents

BackEndDeepTech Emtech

Siva Katamreddy

The Model Context Protocol (MCP) is rapidly becoming the standard for connecting AI agents to external tools, APIs, and data sources. For Java developers, this ...

Rethinking Software: The AI-Native, Event-Driven, Multi-Agent Paradigm

ArchitectureDataTech DeepTech