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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...
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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...
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The job market for computer science graduates is shifting rapidly, revealing a growing gap between academic training and industry expectations. Traditional prog...
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AI in retail is often discussed in terms of models and breakthroughs, but the real challenge lies in making it work on the store floor, in real time, for real c...
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Enterprise architecture is entering a new era defined by agentic AI, AI governance, confidential computing, and post-quantum cryptography (PQC), while sustainab...
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Tesco’s xAPI serves as the single entry point for all client interactions with the Retail Platform, powering web, mobile, in-store, and third-party experiences....
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Interested in adding AI capabilities to your Java applications? LangChain4j makes it simple to integrate large language models (LLMs) directly into your existin...
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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...
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Building reliable ETL pipelines for MongoDB requires balancing speed, complexity, and governance. As data volumes grow and use cases expand across analytics and...
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AI is accelerating how quickly software is written and delivered. As delivery speeds increase, systems begin to evolve faster than they are designed. The primar...
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This session focuses on how agentic AI is used within the Jira Service Management (JSM) ITOps product at Atlassian to assist engineers with root cause analysis ...
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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 ...
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AI tools such as Cursor, Claude, and Copilot can generate a working application in minutes. However, “working on my machine” and “running in production” are sep...
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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...
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Developers are no longer just writing code - they are working across the software development lifecycle to define, build, deploy and maintain software systems. ...
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AI agents do not fail because they cannot reason. They fail because the cost of their behaviour is not designed upfront. What begins as a simple agentic workflo...
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Accessibility has often been treated as a usability feature or a compliance requirement, important but secondary. In AI-driven systems, that assumption no longe...
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Modern platforms do not scale on frameworks alone. They scale on ownership. This session explores how engineering teams in India led an end-to-end platform tran...
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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...
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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...
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Microservices promised scalability and agility, but for many teams, they have introduced operational overhead, complex debugging, and fragmented ownership. What...
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Training large AI models requires more than raw compute. It demands careful orchestration of multi-node GPU systems, robust communication, and disciplined e...
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Organizations repeatedly face the same data integration challenge: many data sources, inconsistent schemas, and extensive manual effort to transform data into a...
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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...
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Autonomous LLM agents plan, retry, chain calls, and orchestrate work across services. This changes core assumptions behind microservice design, boundaries, and ...
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Test-Driven Development offers clear benefits, but many developers find it time-consuming and difficult to sustain in practice. This session explores how AI can...
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Few decisions challenge software architects more than choosing between control and convenience. Should you host PostgreSQL on EC2 for full control, use Amazon R...
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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...
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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...
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Graphs underpin many real-world systems, from workflow orchestration and build pipelines to data processing and microservice dependencies. This session connects...
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Refactoring is essential for maintaining and modernizing Java applications, yet it often feels slow, risky, and time-consuming. While IDEs offer powerful refact...
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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...
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Early studies suggest that AI coding assistants can boost productivity by 26% to 55%. However, newer research highlights a paradox. Experienced engineers workin...
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For decades, software systems were built on certainty: declarative programming, deterministic logic, and tests that guaranteed repeatable outcomes. Correctness ...
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Agentic commerce is driving a fundamental shift in how people shop. This session will unpack how intelligent agents are transforming the retail landscape, resha...
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Artificial Intelligence is rapidly changing how software is built, raising an important question: what does the future hold for developers? This keynote explore...
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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...
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AI inference has become the new production workload: always on, cost-intensive, and increasingly complex. Teams face unpredictable latency spikes, runaway GPU c...
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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...
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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. ...
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AI agents can build and ship containers in minutes, but the foundations they rely on often carry significant security risk. A typical Ollama container includes ...
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Generative AI is reshaping developer productivity, introducing new approaches such as “vibe coding” where ideas are translated into working software with minima...
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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 ...
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As AI moves from experimentation to production, Java developers face a new paradigm: building intelligent, context-aware systems that can reason, interact, and ...
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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...
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Large-scale AI implementation cannot happen with a single powerful model or agent. It’s an orchestrated network of specialized agents working together. As enter...
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AI can help generate solutions quickly, but building reliable production systems requires much more. Hosting, implementation, testing, governance, data security...
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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...
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Finland consistently ranks among the world’s most innovative and technologically advanced nations, leading the way in AI, IoT, fintech, sustainable data soluti...
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Agent frameworks promise reasoning and autonomy, but enterprise environments demand more than impressive demos, they require reliability, observability, and con...
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Software development is filled with decisions, and over time, it is easy to forget why those decisions were made. Architectural Decision Records (ADRs) provide ...
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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...
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Designing and operating digital public infrastructure at population scale requires careful consideration beyond technical scalability. This session explores the...
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Agentic AI is changing how enterprise SaaS applications are designed and delivered. However, rapid development without governance and control can introduce sign...
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As systems grow, complexity becomes unavoidable. Anxiety does not have to follow. This session explores how empathetic design, combined with established archite...
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Static documentation is the silent killer of microservice agility; if it isn’t derived directly from the code, it’s already a lie. In the race to scale, manual ...
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This session demonstrates a practical approach to building applications by starting with a system use case and using AI to generate a full-stack Java applicatio...
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Many RAG initiatives stall after early demos because they hallucinate, break under orchestration, or fail to show measurable business value. This session introd...
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AI is reshaping the entire software delivery value chain, from market research and ideation to coding, deployment, and operations. This session explores what it...
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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...
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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...
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As organisations evolve toward SaaS, the ability to onboard clients quickly and consistently across products becomes a key differentiator. Achieving this requir...
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As generative AI capabilities accelerate, the real challenge for enterprise teams isn’t building faster, it’s building responsibly. This session focuses on how ...
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As AI agents become central to software workflows, a critical issue often goes unnoticed: instruction compliance. Do agents actually follow the rules, constrain...
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Building scalable Spring applications often depends on choosing the right approach to asynchronous programming. In the past, developers relied heavily on Reacti...
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NullPointerExceptions have long been a source of frustration for Java developers, turning minor oversights into production issues. Null-safety in Java, however,...
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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...
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This session explores how a modern service desk operates and how requests flow in practice. It walks through a journey of delegating and resolving tickets auton...
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A recent IBM–Morning Consult survey shows that 99% of developers building AI applications are already exploring or building AI agents. Yet, despite this momentu...
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Integrating AI into enterprise systems has traditionally been complex and specialized, but new tools are changing that. Spring AI and the Model Context Protocol...
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Once known for its slow evolution, Java has transformed into a fast-moving, forward-looking language. With frequent, incremental releases, it continues to deliv...
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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...
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Most enterprise LLM failures are not technical, they are trust failures. Models hallucinate, lose alignment with source truth, or generate answers with no trace...
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As event-driven systems grow, Kafka often becomes a core platform component. However, true multi-tenancy, governance, and cross-team collaboration require engin...
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As AI agents evolve beyond simple prompt–response interactions, they increasingly rely on connected data to reason effectively. This session explores how Aura A...
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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...
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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...
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Every developer eventually faces the challenge of maintaining legacy code: systems written by others, often under time pressure, and difficult to understand or ...
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Enterprises often struggle to manage data consistently across multiple systems, leading to configuration drift and regulatory risk. This session presents a mod...
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Building an AI agent that works in a demo is straightforward. Deploying one that performs reliably in production, with real users and unpredictable inputs, requ...
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Self-checkout has rapidly evolved from a cost-saving convenience to a strategic centrepiece of the modern store experience. This session explores how retailers ...
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Automation delivers value only when systems across the stack work together, including legacy applications. This session demonstrates how to use Zoho Flow as a c...
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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...
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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...
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Generative AI systems are evolving beyond single-shot prompts toward closed-loop reasoning, a structured process of planning, acting, observing, reflecting, and...
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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...
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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...
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AI is changing how products are imagined, designed, and delivered. This session explores how AI builders and product engineers work together to move from code t...
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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...
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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...
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Functional programming offers an alternative to the imperative style by reducing complexity and improving maintainability. However, many developers are more fam...
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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...
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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 ...
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As teams move AI agents from pilot to production, a common challenge emerges. Agents can complete tasks in front of them, but they do not naturally carry learni...
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Coding interviews and production systems share a common challenge: turning vague problems into correct, efficient, and explainable solutions. This session prese...
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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...
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Using AI in an enterprise environment can feel like driving a high-performance car with no clear path forward. While AI enables extreme development speed, fragm...
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Google Zanzibar is a global authorization service that powers access control across products such as Google Docs, YouTube, and Cloud IAM. Designed to handle mor...
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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...
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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...
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Designing systems at population scale introduces challenges that go beyond handling traffic. The complexity lies in enabling interoperability across a large and...
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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...
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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...
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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...
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In the era of generative AI, data without context is just noise. This session explores how to transform raw, unstructured data into AI-ready assets through cont...
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Many organizations did not truly transform their document workflows. They moved paper into digital files and carried the same workflow problems forward. As docu...
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Anyone building APIs or developer products is sitting on a massive strategic advantage: the ability to influence tech choices and set quality standards by defau...
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The Model Context Protocol (MCP) is redefining how AI systems connect to external data, APIs, and tools, moving beyond local integrations toward secure, scalabl...
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This session takes a reverse engineering approach to web accessibility. It starts with a website that meets accessibility guidelines and passes audits, then sys...
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AI systems require more than intelligence; they require context. Without it, even advanced models can misinterpret data, lose important details, or reach conclu...
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Tesco’s Warehouse Management System, built over four decades on mainframe COBOL, contains thousands of interconnected business rules that have evolved alongside...
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As enterprises scale automation, rule-based workflows struggle with fragmentation, exceptions, and evolving logic. Low-code tools accelerate development but rem...
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AI is rapidly changing how applications are built, and developers are increasingly moving toward more agent-driven ways of building software. This session explo...
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Debugging issues in microservice-based systems can be difficult because failures often cascade across services and dependencies are complex. This session explor...
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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 ...
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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. ...
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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...
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Large Language Models have expanded what’s possible, and what’s vulnerable. New risks like prompt injection, data exfiltration, insecure plugin calls, and model...
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What happens when a well-defined user story becomes working, tested, and documented code with a pull request open in under an hour? This session explores that q...
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This session explores the architecture of NBBL and the lessons learned from building a modern bill payments platform. It looks at how Domain-Driven Design and E...
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State space models (SSMs) are emerging as a compelling alternative to transformer-based architectures, providing a mathematically grounded and computationally e...
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Testing distributed systems is notoriously difficult. Concurrency bugs, network partitions, and clock skew often lead to flaky tests and elusive failures that a...
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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...
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As AI becomes integral to software development, keeping humans actively involved is essential for ensuring ethical, accurate, and context-aware systems. This se...
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Every enterprise has mission-critical legacy systems that no one fully understands anymore. Documentation is missing, experts have moved on, and every change fe...
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As generative AI systems evolve from single LLM calls to complex, goal-driven workflows, multi-agent architectures are becoming important for building robust, s...
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When transitioning from a monolith to a modular monolith or microservices architecture, breaking apart the codebase is challenging, but handling data is even ha...
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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...
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