Great International Developer Summit 2025
2025-04-22..2025-04-25
Bengaluru, India
[Great International Developer Summit 2023, Great International Developer Summit 2024, Great International Developer Summit 2025]
| title | author | length |
|---|---|---|
| Patterns for Software Architecture | Venkat Subramaniam | 01h 00m |
Argues that architecture choices follow from prioritized system characteristics not from fashionable patterns; instructs teams to list and rank requirements… | ||
| It AI n't What You Think! | Venkat Subramaniam | 59m |
Argues that modern AI behaves as AI as accelerated inference: it repeatedly proposes plausible solutions but hallucinates facts and is arbitrarily inconsistent… | ||
| Structured Concurrency in Java | Venkat Subramaniam | 57m |
Java 21’s structured concurrency is shown as a concrete replacement for raw executors using StructuredTaskScope and virtual threads, with a live demo that… | ||
| Go for Java Developers | Ken Sipe | 01h 02m |
Direct comparisons to Java: concrete rules for collections (arrays vs slices as windowed views), stream-like transforms implemented with functions, and… | ||
| Scaling Servers with Virtual Threads | Venkat Subramaniam | 01h 10m |
Shows Java 21 virtual threads as a practical replacement for OS threads: swapping new Thread(...) for Thread.startVirtualThread and running IO-bound tasks… | ||
| Unlocking AI's Potential: Smarter Coding in Apache NetBeans IDE | Gaurav Gupta | 53m |
Live demo shows Jedic AI assistant integrated into Apache NetBeans using OpenAI (GPT‑4.1) and local LLMs via Olama (1.5B), generating PlantUML/mermaid… | ||
| Ports and Adapters Architecture | Daniel Hinojosa | 56m |
Shows a concrete Java example: a minimal tax calculator example wired from ports (interfaces) to adapters (JPA-like repo stub returning 15) and run as a small… | ||
| From Domain Driven Design DDD to Delivery | Daniel Hinojosa | 01h 00m |
Argument: Domain‑Driven Design maps business core/generic/supporting subdomains to technical boundaries so strategy yields deployable units; microservices are… | ||
| Designing Microservices | Venkat Subramaniam | 01h 02m |
Claims that most teams claiming microservices aren’t really doing them (about 80%), and that micro means a domain/bounded context not small code. Recommends… | ||
| The Data Side of Event Driven Architecture | Mark Richards | 54m |
Event-driven systems must choose between full-payload vs key-based events: full payloads boost throughput at the cost of stamp coupling, contract versioning… | ||
| What The Functional Programming | James Ward | 01h 00m |
Overview of practical FP techniques with runnable Scala and Java code: immutability prevents thread races (demo shows a parallel increment failing)… | ||
| Data Access and Data Sharing in Microservices | Mark Richards | 53m |
Five concrete patterns for accessing data outside a service: option one: REST inner‑service calls (simple but adds latency, tight coupling and cascading… | ||
| Communication Patterns for Distributed Architectures | Venkat Subramaniam | 01h 02m |
Explains why the unit of deployment—not the label—drives distributed design, compares concrete integration options like function calls vs database as… | ||
| Building Modular Monoliths using Spring Modulith | Siva Prasad Reddy | 01h 01m |
Builds a runnable Spring Boot monolith with Spring Modulith enforcing module rules via a JUnit modularity test that fails on non‑exposed types and circular… | ||
| Effect-Oriented Programming | James Ward | 58m |
Introduces Effect-Oriented Programming with runnable examples in Scala/ZIO and a TypeScript effect library, showing concrete results: a random-word pipeline… | ||
| Architecture Patterns for AI-Powered Applications | Micheal Carducci | 01h 02m |
Walks through concrete architecture choices: a quick email-generator demo that ships in minutes but spikes cost, latency and abuse risk; adding prompt… | ||
| OOP vs Data Oriented Programming: Which One to Choose? | Venkat Subramaniam | 01h 00m |
Compares an order-processor example where extensibility comes from an interface (PaymentMethod using dependency inversion) to a third-party trade example where… | ||
| 4 Key Trends Towards Better Software Architecture | Mark Richards | 58m |
Four concrete claims: software architecture requires alignment across nine intersections (implementation, infrastructure, data, teams, enterprise, integration… | ||
| Next-Gen Tech for Next-Gen Banking | Sirisha Voruganti | 16m |
Banking holds roughly one fifth of global GDP, with $7 trillion traded daily and about 149 zettabytes of customer data, driving a shift to real‑time AI… | ||
| Identity Resolution – The Brain of Customer Data Platform (CDP) | Upendra Singh | 29m |
Explains a production identity-resolution pipeline that combines rule-based real-time merging with an out‑of‑band ML re‑consolidation, ingesting billions of… | ||
| Building Hierarchical Multi-Agent RAG Systems | Raghavan Narasimhan | 33m |
A hierarchical RAG prototype uses Spring AI, Ollama plus OpenAI/Gemini models, a Python OCR container, PGVector with five to six test records, and a Salesforce… | ||
| Scaling AI with Java: Building Production-Ready LLM Applications | Daniel Oh | 01h 01m |
Builds a production-ready Java LLM app using Quarkus and LangChain4j, wires OpenAI or local container models (Podman/AI Lab) into a vector store… | ||
| A Model for Holistic Software Architecture | Micheal Carducci | 59m |
Introduces the Tailor-Made Architecture Model, an open-source framework that encodes architectural constraints as weighted decisions and treats architectures… | ||
| Hypermedia APIs and the Future of AI Agentic Systems | Micheal Carducci | 58m |
Argues that real autonomous agents require Hydra linked-data and JSON-LD baked into REST level‑3 APIs so resources are self‑describing and discoverable, not… | ||
| Data Engineering for Graph-based Retrieval Augmented Generation GraphRAG using Neo4j | Sumit Shatwara | 46m |
Shows a concrete pipeline that turns SEC Edgar PDFs and Form 13 tables into a Neo4j-backed GraphRAG: chunking 10‑K text, storing chunks and form rows as nodes… | ||
| Architectural Principles: Building the Foundations of Design Excellence | Ken Sipe | 59m |
Principles focus on measurable choices: test components under constrained pods, then right‑size resources (example matrix from 1 core + 1GB ≈ 5,000 rps)… | ||
| The Evolution of LLMs: From Imitation to Reasoning | arun menon | 29m |
Walmart fine-tunes open models and moves from SFT/RLHF alignment to reasoning methods like DPO and scaled RL (notably GRPO), then applies test-time compute… | ||
| AI Assistance for On-Call Engineer | Paranth Thiruvengidam | 15m |
Jira Service Management folds OpsGenie features into an on-call workflow that reduces alert noise by 90% by clustering 127 alerts into four actionable groups… | ||
| Rediscovering JavaScript | Venkat Subramaniam | 01h 01m |
Covers concrete, actionable JavaScript updates: replace var with use const as much as possible and let, enforce via eslint; replace arguments with rest and… | ||
| Describing and Documenting Your Architecture | Mark Richards | 01h 00m |
Proposes an Architecture Narrative that sequences why, constraints, alternatives and the final design; shows concrete artifacts: ADRs (example ADR21 chooses a… | ||
| From Domain Models to Domain Languages with Tagless-Final | Kenichi Suzuki | 33m |
Argues that tagless-final lifts domain models into type-safe DSLs by encoding syntax, types, and semantics in the host language so the compiler enforces… | ||
| The Intersection of Architecture and Implementation | Mark Richards | 58m |
Claims that architecture must be continuously aligned with implementation and that architectures become enforceable when expressed as an Architecture… | ||
| Becoming an Architect: Nurturing Essential Skills for Success | Ken Sipe | 59m |
Transitioning from developer to architect centers on concrete changes: moving from solo coding to communicating dollars and risk with execs, keeping hands on… | ||
| Beyond Code: The Essential Skills for Future Tech Leaders | Kavita Vishwanath | 11m |
Covers Toast’s SaaS POS for restaurants with payments, kitchen ops, payroll, inventory and recipe costing and surfaces a concrete user need: a real-time… | ||
| The Evolution of RAG | Brian Sam-Bodden | 59m |
Overview of concrete RAG advances: pipelines move from simple retrieve+LLM to modular systems with a semantic router, rewriter, retriever, reranker… | ||
| AI Coding Assistance: The State of Play | Birgitta Boeckeler | 50m |
Survey of current AI coding tools names GitHub Copilot, Cursor, Windsurf, Ader, Klein and shows agentic modes that read/change multiple files, run tests, and… | ||
| Keeping Your Java Hot by Solving the JVM Warmup Problem | Simon Ritter | 54m |
Explains concrete fixes: GraalVM native image AOT removes warmup but loses speculative optimization so long-running apps run slower; profiling shows… | ||
| AI Driven Transformation in Contact Centers: Enhancing Customer Experience | Nurul Khan | 30m |
Concrete workflows and numbers: virtual agents plus predictive call routing and unified profiles cut mean time to resolve from 11 to 2 minutes (81% reduction)… | ||
| AI for Teams: AI Assistance beyond Coding | Birgitta Boeckeler | 48m |
Generative AI amplifies non‑coding work by turning domain prompts and screenshots into usable outputs but still needs human oversight: ThoughtWorks tracks 128… | ||
| Next-Gen Software Architecture with Large Language Models (LLMs) like ChatGPT | Rohit Bhardwaj | 01h 00m |
Demonstrates using ChatGPT (plus Perplexity, Gemini and Miro/Mirrorboard) to produce empathy maps, customer-journey diagrams, use cases, sequence diagrams and… | ||
| Know Your Java? | Venkat Subramaniam | 01h 01m |
Shows concrete failure modes and fixes: changing a List to a Collection makes remove(1) call remove(int) vs remove(Object) so the element at index 1 gets… | ||
| SwiftLake: Bringing Apache Iceberg and DuckDB Together for a Smarter Data Management | Varunkumar | 27m |
SwiftLake presents a concrete bridge from RDBMS to S3 by packaging Apache Iceberg and DuckDB as a single-node Java library that supports full write paths… | ||
| The Three Amigos: Intermixing Pattern Matching, Records, and Sealed Classes | Venkat Subramaniam | 01h 02m |
Java now gives records give ctor/getters/toString/equals/hashCode so simple data holders are immutable and final; sealed permits clause enforces closed… | ||
| Enterprise Architecture 4 0 The AI Driven Future Preview | Rohit Bhardwaj | 01h 01m |
Enterprise architecture shifts from static blueprints to deployable agent systems that turn RAG and grounding into operational services: examples include a… | ||
| 9 Fallacies of Event driven Architectures | Vanya Seth | 48m |
Nine concrete pitfalls are named and illustrated from three years building a production-grade marketplace: information overload from event-carried state… | ||
| The Invisible Workforce: AI Agents Behind the Scenes | Bindu Priya | 24m |
Distinguishes planning vs execution by defining agentic AI as the planner and AI agents as the executors, lays out perception/cognition/action modules, and… | ||
| Behind the Price Tag: Architecting for a Billion Prices | Abhijit Mangalgiri | 15m |
Retail system delivers over a billion prices daily by combining market intelligence, demand-elasticity models and an optimizer that trades off revenue / units… | ||
| Will AI Replace My Job? A Town Hall for Software Developers | Scott Hanselman, James Ward, Venkat Subramaniam, Birgitta Boeckeler, Ken | 01h 01m |
Panel conversation about immediate, practical impacts: coders use LLM assistants for day-to-day coding, infra-as-code, and incident debugging; consultants… | ||
| Agile Architecture | Micheal Carducci | 01h 00m |
Presents a practical method that scores and composes architectural constraints to evolve systems incrementally instead of betting on upfront patterns, using… | ||
| AI and Ethics: Navigating the Future of Responsible Technology | Scott Davis | 54m |
Tracks the lineage from 420 lines of code Eliza that mirrors user text to modern systems trained on 2 billion pages, shows a real Google Duplex call that… | ||
| AI + Code = Efficiency | Bharath Kumar B | 16m |
Company runs 14 data centers and claims private in-house LLMs cut cost and improve privacy by right‑sizing models rather than always using huge ones, citing… | ||
| GitOps: From Commit to Deploy | Daniel Hinojosa | 57m |
CI uses GitHub Actions builds and pushes Docker images (build step captures a version output, logs into DockerHub with a token, then checks out a separate… | ||
| AI and Data Extraction: Practical Strategies for Secure Workflows | Abhnaya | 17m |
Demonstrates using Apprise’s IDP with table detection, form detection and OCR to convert PDFs into JSON with positions and field labels, then perform selective… | ||
| Enterprise Architecture for Next Gen Innovations | Rohit Bhardwaj | 01h 00m |
Predicts a 3–5 year EA roadmap that centers on vector similarity search and digital twins, claiming synthetic data outnumbers real data by 2030 and… | ||
| Distributed Video Management at Tesco Scale with Edge Compute and Kubernetes | Balaji Murugesan | 22m |
Built in-house, a modular multi-stage video pipeline ingests RTSP via ONVIF, fronts streams with a serve stage so one camera supports many clients, records to… | ||
| Architecture Blindspots, Biases, and Blunders: Avoiding Common Pitfalls in System Design | Micheal | 55m |
Argues that cognitive traps cause concrete architectural failures: reusing an old feature flags toggle and a manual shell-script deployment left one node out… | ||
| Demystifying the Mahabharata with GraphRAG | Siddhant Agarwal | 32m |
A chatbot maps natural language questions to Cypher and a Neo Forj knowledge graph built from 18 Mahabharata PDFs (≈5,400 pages, ~2.7M tokens), converting text… | ||
| Enhancing LLMs with Graph Technology | Stephen Chin | 28m |
Claims a concrete framework called GraphRAG that combines knowledge graph + vector retrieval with LLMs to reduce hallucinations and add explainability. Uses… | ||
| Supercharge Agentic AI Apps: A DevEx Driven Approach to Cloud-Native Scaffolding | Daniel Oh | 51m |
Shows a concrete Java stack: Quarkus + LangChain4j + MCP integration that turns a few annotations and config into a working agentic app, with one annotation to… | ||
| Mastering the System Design Methodology | Rohit Bhardwaj | 59m |
Claims a repeatable system‑design methodology centered on C4 modeling, empathy-driven requirements and lightweight tooling (Miro/mirrorboard, ChatGPT… | ||
| Java Enable Preview: Vector API | Daniel Hinojosa | 57m |
Vector API runs SIMD on mainstream CPUs (x86 AVX, ARM NEON) via the incubating preview and requires the C2 compiler; demos load arrays in float species size 4… | ||
| Engineering Fundamentals in the Age of AI: Why Human-in-the-Loop Matters More Than Ever | Perwez Khan | 30m |
Argues that human-in-the-loop is nonnegotiable: AI helpers like ChatGPT and GitHub Copilot speed routine coding but engineers must validate security… | ||
| Data Lifecycle Management as Foundational Pillar to AI Agents | Karthik Birudavolu | 14m |
Claims that model accuracy falls from 99% to 74% on live data because of unqualified inputs, and that organizations often lift 10+ petabytes to cloud without… | ||
| Jakarta EE Meets AI | Ivar Grimstad | 58m |
Jakarta EE 11 updates target Java 21 compatibility, introduce Jakarta Data, make CDI more central, and split into core profile (released December), web profile… | ||
| Building Multimodal Apps with Gemini 2 0 and Gemini SDK | Anchit Nishant, Vikas Mishra | 56m |
Live demos show Gemini as a multimodal, large-context LLM that “thinks” before answering and ships with controls like thinking budget and a model optimizer… | ||
| Continuous Integration: I Invite You to Break My Build | Venkat Subramaniam | 01h 01m |
Argues that breaking the build is acceptable when the team fixes it quickly and uses CI to surface environment mismatches; recommends okay to break the build… | ||
| AI Coding Agents and How to Code Them | Alex Shershebnev | 48m |
Demonstrates building coding agents that use React (reason+act) framework with concrete tools: ping, bash and web search hooked into GPT-4.1, then swapping to… | ||
| 100 Million Lines of Code, Millions of $ Saved, 0 Wasted Builds; AI Powered CI @ Atlassian Scale | Hari Lingamagunta | 25m |
Atlassian describes a CI overhaul that cuts build time 80% and saves over $4M/year by using predictive test selection that skips 50–95% of tests per change, a… | ||
| How Agentic Orchestration and AI-powered Predictions will Drive Business Uptime | Rohit Ramanand | 15m |
Claims that agentic orchestration plus intelligent observability stitches business data, MELT telemetry and cloud cost into predictive workflows, with an… | ||
| Gemini 2.0: Beyond the Basics | Anand Rangarajan | 19m |
Gemini 2.5 Pro (launched March 25) claims state‑of‑the‑art multimodal reasoning with native audio/video/image input and output, an ELO score of 1439 on… | ||
| The Knowledge Graph - The Story from Daydream to Reality | Micheal Carducci | 01h 01m |
Claims that linking organizational data as graphs lets LLMs answer grounded, private queries by blending web-scale metadata with internal facts; a demo early… | ||
| Building Robust, Secure LLM and Agentic AI Workflows | Shivay Lamba | 30m |
An open-source agent catalog built on Langraph registers tools and prompts into a vector database, uses semantic search to pick among 100+ tools, versions… | ||
| Enterprise Data in Action: 7 Eleven's Journey to Business Value Through Advanced AI | Prag Tyagi | 26m |
7‑Eleven describes a governed centralized data lake with a federated layer, cleaning pipelines and a data quality gate that serve personalization across a… | ||
| Coding Reinvented: How AI Agents Are Shaping the Future of Software Development | Archie Sharma | 18m |
Claims AI will automate ~90% of mundane coding tasks within 18 months and already boosts generated code quality by ~45% using a repoing engine that indexes… | ||
| Scaling Engineering Teams: Lessons Learned from Startups to Global Enterprises | Shamik Sharma | 28m |
Presents a simple model: organizations convert ideas, talent and funds into product and revenue while building lasting assets and customers. Splits work into… | ||
| Learning from Failures | Venkat Subramaniam | 57m |
A team spends about $20M over ten years and never ships the product because customers call it too complex and it only does a small part of what they need, so… | ||
| Boost Your Performance and Developer Productivity with Jakarta EE 11 | Ivar Grimstad | 50m |
Jakarta EE 11 adds Java 21 support while compiling APIs to Java 17, introduces a new Jakarta Data spec (Spring‑Data‑style repositories), formalizes a… | ||
| Revolutionizing Secondary Mile: Transforming VRP with Meta Heuristics | Vipin Megotia | 23m |
Tesco describes a production routing platform that applies metaheuristics (mostly local search with a ruin-and-recreate move and late-acceptance acceptance) to… | ||
| Qualities of a Highly Effective Manager | Venkat Subramaniam | 01h 01m |
Lists 12 practices for technical managers, including be adaptive not reactive (favor continuous adaptive planning over fixed dates), use carrots instead of… | ||
| Guardians of the Gateway: Battling SMS Fraud in Real Time | Anurag Tiwari | 29m |
Real-time system that detects and blocks SMS pumping at low latency by combining streaming features, ML models and rule-based thresholds, ingesting tens of… | ||
| Engineering Excellence: Platforms and Architectures for Real-Time AI Analytics | Sarath Gollapall | 26m |
Claims that production real-time AI only works with platform engineering and demonstrates a concrete stack: event ingestion via Kafka, microservices scaled… | ||
| Optimizing Complex Workflows with Event - Driven - Multi Agentic Approach | Mary Grygleski | 59m |
Claims an event-driven, multi-agent pipeline that pairs Kafka/Pulsar-style streams with vector stores and LLMs to scale RAG and complex workflows; shows code… | ||
| Enabling Embedded Finance through Composable Architecture | Ravi Kumar Kappagantu | 23m |
Shows a working GitHub demo that wires merchant UI to domain-based microservices for offers, KYC, credit checks and loan origination and proves the flow… | ||
| Developing Production-Ready Apps in Collaboration with AI Agents | Alex Shershebnev | 57m |
Builds a conference website end to end with Zencoder as the coding agent, producing about 20–30 files in minutes: a React frontend / FastAPI backend /… | ||
| Exploring Java OSS with Code Reading | Hiroshi Ito | 54m |
Shows how ChatGPT and Claude plus an IDE debugger and project source speed reading large Java OSS like Spring Boot and Eclipse Collections. Demonstrates… | ||
| Building AI powered Applications with Java | Andres Almiray | 01h 03m |
Shows a concrete Java RAG pipeline using LangChain4j (not Spring AI for the demo), GPT‑4‑mini for embeddings, and an Oracle Convergent Database as a vector… | ||
| Emerging Patterns Agentic AI | Bharani Subramaniam | 27m |
Review of 120 projects across a 4,000-person org shows agentic systems cluster around three concrete patterns: code as action space where models generate… | ||
| AI in the Trenches: Engineering Real-World Systems | Stephen, Mark, Vanya, Michael, Archie | 01h 06m |
Gartner prediction that 30% of GenAI projects fail by end of 2025 anchors a practical agenda: build data platforms, measure business KPIs, and use… | ||
| Securing the Digital Landscape: A Deep Dive into OWASP Top 10 for Applications, APIs, and LLMs | Rohit | 59m |
Walks through concrete attacks and defenses with live demos and tools: uses exploit DB and CVE/NIST checks for reconnaissance, Nmap for port discovery, and… | ||
| Enhancing Threat Intelligence Using AI | Ashu Thangaraj | 21m |
Openext layers a GenAI LLM and vector-backed knowledge graphs on top of an existing threat intelligence platform to summarize and prioritize noisy alerts… | ||
| Bridging the Digital Divide: Empowering Accessibility Through AI Innovations | Scott Davis | 55m |
Demonstrates concrete accessibility wins: face‑aware photography on Google Pixel Guided Frame, real‑time transcription that lets a deaf man finally phone his… | ||
| Mastering Solutions: Unraveling the Role of Solution Architects | Ken Sipe | 57m |
Defines Solution Architect as the end-to-end integrator who must stay technical (code reviews, PR discipline on GitHub), enforce ADR: context / decision /… | ||
| From Legacy to Cutting-Edge: Live Refactoring Java 8 to 24 | Mala Gupta, Chandra Guntur | 59m |
Live demo refactors a Java 8 repo to Java 24 using IntelliJ inspections and an automated assistant called Juny AI, converting a 54‑line POJO into a record… | ||
| Discover Finland A Culture | Anil Talwani | 45m |
Finland aims to be carbon neutral by 2030 and counts a population of about 5.6 million with roughly 3.6 million in the workforce; companies report major demand… | ||
| Setting Up Data Driven Tests with Java Tools | Andres Almiray | 59m |
Shows how to provision isolated databases with Testcontainers Oracle Free and wire JUnit 5 + Spring Boot tests, use DbUnit or Database Rider to seed and assert… | ||
| Demystifying GenAI: Build a ChatGPT App with Vector Store | Mary Grygleski | 58m |
Hands-on roadmap for building a ChatGPT-style app using real tools and patterns: PgVector as a Postgres vector store, embeddings + semantic search, and… | ||
| Standing on the Shoulders of Giants: Unlocking our Future | Micheal Carducci | 59m |
A live card trick mostly fails until an omitted flip flick step—found later on Stack Overflow and reinforced by ChatGPT—illustrates that recipes alone break… | ||
| AI Driven Financial Workflows: Lessons from Scaling for SMEs | Ajay Ghanti | 22m |
Tide says it already serves >10% of UK SMEs and 1M+ small businesses worldwide and lays out a concrete stack: data extraction, autocategorization and planning… | ||
| The Art of Java Language Pattern Matching | Simon Ritter | 55m |
Project Amber adds concrete language features: Pattern matching for instanceof (JEP 433) and Pattern matching for switch (JEP 441) plus record patterns… | ||
| The Fine Art of Canary Deployments | Daniel Hinojosa | 01h 04m |
Step‑by‑step setup for canary rollouts using Kubernetes replica sets, Kubernetes replica sets and label‑based services; routing via Istio/Envoy routing with… | ||
| Testing for Accessibility | Venkat Subramaniam | 55m |
Measures a site with several free checkers and finds roughly 110 violations and scores in the low 40–60% range, then uses Sally (s a11y) to highlight exact… | ||
| Navigating Software Quality - From Chaos to Control | Vanya Seth | 52m |
Maps software quality to the Canavian spectrum and argues AI systems live between complex and chaotic domains, so testing uses context recall and precision for… | ||
| Structuring the Unstructured : Empowering the AI Workflows | Shilpa Shivapuram | 22m |
Claims a practical, open-source pipeline that turns messy docs into a unified semantic model and knowledge graph, runs on CPU (Mac M2/M3 or Xeon) and supports… | ||
| Digital Knowledge Management for Architects | Micheal Carducci | 01h 01m |
Demo shows building an architectural “second brain” with Logseq storing markdown files in Git, embedding slides and video timestamps, and exporting public docs… | ||
| Six Secrets to Succeeding with Microservices | Micheal Carducci | 01h 00m |
Microservices succeed only when architecturally significant constraints are chosen and supported by organization, teams, and automation rather than topology… | ||
| Structured Concurrency: Managing the Hierarchical Cancelation and Error Handling | James Ward | 01h 02m |
Demo server and repo called Easy Racer exercise 11 structured-concurrency obstacles with real code in Java (Loom + StructuredTaskScope), jOckS, Scala (ox)… | ||
| Non Functional Requirements For The Win! | Ken Sipe | 01h 01m |
Clear difference between SLI (what is measured), SLO (P95 + max as the practical goal) and SLA (external contract with consequences); load matters—design load… | ||
| Beyond LLMs: Building an AI-Powered Decision System at Scale | Anand Subramanian | 32m |
Generative AI sees over 50% of projects fail to reach production and roughly 30% of failures trace to bad data the presenter shows an agentic design that… | ||
| Agents Everywhere | Brian Sam-Bodden | 01h 03m |
Claims that complex multi-agent LLM systems fail up to 75% of the time lead to a defensive design: a stateful directed cyclic graph engine called Langraph DCG… | ||
| Monoliths to Modular: Navigating the Transition | Elsa Zacharia, Gireesh Punathil | 43m |
Compares Java Platform Module System (JPMS) and OSGi and gives concrete trade-offs: JPMS (Java 11+) is static, reduces JRE footprint for cloud, and suits… | ||
| Stay Ahead with Java’s Latest Features in JDK 23 | Daniel Hinojosa | 57m |
Stream Gatherers let Java perform grouping as an intermediate lazy operator that avoids materializing maps; example bundles integers by 10 produce five bundles… | ||
| A Pragmatic Journey from Monolith to Microservices Powered by AI:GenAI | Suvankar Chakraborty | 26m |
Shows a concrete migration: extract an inventory tracking microservice from a monolith, generate unit and integration test plans, create a Jira release… | ||
| Delivering Native Video Experiences in React Apps | Harshit Budhraja | 32m |
Global video traffic sits around 80% so building native playback matters: the talk shows how ImageKit’s Video API converts a single 35 MB source into adaptive… | ||
| Modernizing Legacy Systems: AI Enhanced Cloud Adoption Frameworks | Rohit Bhardwaj | 01h 00m |
Claims that integrating ChatGPT/OpenAI with cloud adoption frameworks (AWS CAF 3.0, Microsoft, Google) enables automated legacy refactors, e.g., ZIP upload… | ||
| Grounded Intelligence Boosting LLMs with Real-Time Graph Context | Abhishek Das | 28m |
Claims that combining live graph queries with LLMs cuts hallucinations and raises answer precision by adding relationship-aware context; implementation uses… | ||
| Architects of Experience: Creating Connections Beyond Code | Nicholas Kontopoulos | 17m |
Argues that developers must go beyond lines of code to own outcomes, break organizational silos and design end-to-end journeys — using cross‑functional squad… | ||
| Architectural Patterns Focus: Security | Daniel Hinojosa | 59m |
Shows a concrete set of patterns and working demos: an Envoy mTLS demo works via docker compose that proves sidecars handle certificate rotation and TLS… | ||
| Navigating the Cloud as a Cloud Architect | Ken Sipe | 56m |
Defines cloud as self-service data centers and emphasizes data gravity and backend latency decisions using Azure regions (moved from North Central to South… | ||
| A View from the Top: Introducing Developers to the Future of Software with Agentic AI | Mani | 33m |
Claims that GenAI and agentic systems cut peripheral work and speed delivery, backed by examples: AWS tooling Q developer and autonomous Q chat, ARM servers… | ||
| Tools and Techniques for Infrastructure as Code | Venkat Subramaniam | 01h 02m |
Argues that fully automating the last 5% of deployments yields real agility and fewer outages, showing a practical pipeline where a git commit → CI/CD runs… | ||
| Building Data-Driven, Intelligent Apps in the Age of GenAI | Vignesh Krishnan | 19m |
Zoho describes a concrete stack: a contextual ZI engine embedded across 55 apps, vision models that detect dents on uploaded car images and generate reports… | ||
| Build AI-powered Apps using Low-code | Adhavan S | 25m |
Zo Creator uses low‑code plus AI to convert plain prompts into fully wired apps: Zia and Launchpad generate data schemas, UI, dashboards, permission roles and… | ||
| From Reactive to Proactive: How AI is Redefining Resilience in Modern Networks | Krishna Mohan | 21m |
Prototype copilot uses a traffic simulator called CT SIM and a pre-trained ML model to predict which RAN cells will be overloaded, trained from data collected… | ||
| Architecture Evolution of a Startup within an Enterprise | Giridhar Ramadhenu | 27m |
Pega Launchpad evolves a cloud-native, model-driven platform on Kubernetes on AWS using serverless pieces, CI/CD pipelines, observability tools and an… | ||
| Effective Product Experimentation: Using Data-Driven Techniques for Iteration | Mithra Kosur Venuraju | 24m |
Covers concrete experiments at Atlassian: a quick-actions A/B test comparing a nested menu and a plus-only button shows both variants lift clicks (~12.9–13.1%)… | ||
| Java Enable Preview: Foreign Function and Memory Interface | Daniel Hinojosa | 01h 01m |
Preview of Java’s Foreign Function & Memory Interface shows concrete steps: allocate arenas and memory segments, create a native linker, do a symbol lookup… | ||
| Building Multimodal Apps with Gemini 2.0 and Gemini SDK | Anchit, Pratiksha, Vikas | 01h 01m |
Workshop shows hands-on labs using the Gemini SDK and Vertex AI via Colab to call multimodal APIs (image, video, audio, text), deploy models, and get API keys… | ||
| The Magic of Small Things – Microservices 10 Years On | James Lewis | 01h 00m |
A greenfield implementation builds a near real‑time loyalty system that must handle Walmart scale on Black Friday and goes live in an 18‑month Walmart‑scale… | ||
| Mindful Automation Testing Software Builds and Streamlining Processes | Surekha Jagadish | 21m |
Claims that only 30%–40% of orgs use automation, advocates a hybrid manual/automation approach and shows concrete tools: Zoho QEngine (no‑code recorder… | ||
| From Documents to UI: Designing an Inclusive Digital Experience | Raghav Singh | 28m |
Covers concrete steps: how to PDF tagging and auto‑tagging creates a reading order and embeds language and alt text for screen readers, how to implement… | ||
| Everyday AI: Practical Applications Beyond the Chatbot | Scott Davis | 55m |
Promises a hands‑on ChatGPT app using PgVector, Langchain and embeddings, but the session actually demos everyday AI: a 1960s Eliza clone (surprisingly 420… | ||
| Hallucinating Zombies, Creative Geniuses Exploring AI's Risky and Revolutionary Side- | Jouko Lampinen | 17m |
Argues that current LLMs both behave like zombie word‑guessers and like superhuman generalists, with concrete failure modes: Google DeepMind’s recent taxonomy… | ||
| Scaling Identification Solutions Using Graph DB | Shesadri Parthasarathy, Vijay Krishnamoorthy | 46m |
Target replaces a vendor relational identity product with a graph architecture using JanusGraph + Cassandra (after experimenting with Neo4j), ingesting… | ||
| Skill Based Economy: The Evolving Role of Certifications for Developers | Kamal Batra | 26m |
Claims that organizations with a skill-first approach are 107% more agile, deliver 57% more innovation and 52% more growth, with 87% of companies reporting a… | ||
| Tools and Techniques for Infrastructure as Code | Venkat Subramaniam | 01h 02m |
Automates deploys so a git commit runs tests, provisions cloud resources and pushes a new release without human steps; replaces a seven‑year weekly spreadsheet… | ||
| Pkl: Safe and Maintainable Config for Java Apps and Infrastructure | James Ward | 59m |
Pickle is an Apple-created configuration language that compiles to YAML/JSON with an IntelliJ plugin and a command-line evaluator, providing static types and… | ||
| Unleashing the Power of Gen AI to Boost Engineering Engagement and Productivity | Ramya Boopathy | 23m |
Amadeus applies GenAI across the travel journey and runs a staged rollout of developer tooling that begins with a 4‑week 10‑person pilot then 100 volunteers… | ||
| Cruise to the Future: Role of Developers in the AI and Cloud Era | Gireesh Punathil | 23m |
Compares concrete data strategies for event-driven systems, showing when events should carry full payloads versus just identifiers, and where reads must hit… | ||
| The Art of Innovation | Micheal Carducci | 01h 01m |
Claims that innovators are only 2.5% of a system and that adoption accelerates after 10–20% critical mass; cites Carnegie Institute that technical skill… | ||
| Black Friday Brilliance: Managing a Billion Transactions with Tech, and Teamwork | Jamie Coleman | 22m |
Claims concrete: the platform processed over 1 billion API requests in 2023 with 99.99% availability, traffic spikes ~70% above baseline and 100x growth over a… | ||
| AI-Enhanced Big Data: Integrating Private LLMs and Vector Databases | Rohit Bhardwaj | 58m |
Claims that AI now automates data preparation and even writes Python analytics code, using exabytes of data (Instagram 55,000 photos/min, ~4.5M concurrent… | ||
| Applied Software Engineering Case Diary: Field Lessons in Problem Solving | Gireesh Punathil | 36m |
Field cases show concrete fixes and surprising scale: adjust IBM Samura JVM minor-heap sizing to stop frequent minor/major GCs; fix Apache Spark on PPC by… | ||
| Integrating Serverless LLMs with Data Platforms for Natural Language Analytics | Kamesh Sampath | 33m |
Shows how Snowflake Cortex exposes serverless LLM SQL functions and Python/REST APIs that run next to data, demoing Streamlit apps, Slack integration, and a… | ||
| How Flow Works and other Curiosities | James Lewis | 50m |
Explains why 42 of 47 days are waiting not working with a concrete value stream example (47 days vs 5 days), uses queuing theory to show congestion collapse… | ||
| The Evolution of LLMs: From Imitation to Reasoning | Sumit Shatwara | 29m |
Walmart fine-tunes open models and mixes closed-source ones to auto-extract attributes from ~1 billion catalog cells, adding an auto-eval layer that materially… | ||
| Breaking Down Digital Barriers: Overcoming Challenges in Online Retail | Jamie Coleman | 26m |
A concise playbook: identify dropped carts and fix the 3 concrete causes shown — slow pages, broken address data, and forced account signup — then measure lift… | ||
| Enabling Embedded Finance through Composable Architecture | Ravi Kumar Kapp | 23m |
Shows a runnable GitHub demo that wires merchant checkout microservices to bank microservices via API calls, demonstrating 0% EMI and 5% cashback offers plus… | ||
| Graph Mastery to AI | Rohit Bhardwaj | 01h 00m |
Argues that mastering graph tech is now imperative and shows concrete systems: Neo4j plus LangChain feeding a vector DB and GPT-based retriever, a web crawler… | ||
| Stream, Store, Visualize: Fast-Track Real-Time Analytics the OSS Way | Kamesh Sampath | 27m |
Live pipeline runs on a laptop: Kafka ingest -> RisingWave materialized views -> data persisted as Apache Iceberg with Polaris catalog on localstack S3… | ||
| Unlocking AI's Potential: Smarter Coding in Apache NetBeans IDE | Gaurav Gupta | 01h 01m |
Demo shows Apache NetBeans extended with Jedict AI assistant to scaffold a Quarkus/par‑micro Java app, generate JAX‑RS endpoints (CRUD, pagination, search… | ||
| Meet the Accessibility in Your Pocket | Scott Davis | 01h 01m |
If you think you need to download extra apps or utilities to make your smartphone or laptop more accessible, think again! This session will introduce you to… | ||
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