XConf India 2025
as the organisers put it
XConf is Thoughtworks' annual technology event created by technologists for technologists who care deeply about software and its impact on the world.
who it's for
software engineers, platform engineers, machine learning engineers, data engineers, infrastructure engineers, devops engineers, product designers
topics
LangGraph agent workflows; coding agents in VS Code; generative UX design for legacy systems; FHIR compliance migration; symbolic execution and control-flow graphs; Cilium cluster mesh with eBPF and WireGuard; retrieval-augmented generation and vector DBs; text-to-SQL for data products; cloud cost optimisation and savings plans; confidential GPU enclaves for model security; AI-driven accessibility and inclusive design; AI-driven Playwright exploration and binary decompilation
| title | author | length |
|---|---|---|
| AI assisted legacy modernisation : From UX to code | Pranjal Ranka, Rahul Ramesh | 33m |
Bahmni’s decade‑old EMR (used in ~50 countries, ~1M LOC) migrates UI and data model using Generative AI for UX and coding agents for code, targeting FHIR… | ||
| Rethinking legacy modernisation with automated reasoning and comprehension models | Avishek Sen Gupta | 36m |
Combines Gen AI with deterministic compiler techniques to ground reverse engineering: extract abstract syntax trees and control-flow graphs, run dominator and… | ||
| Hands-on with AI agents: From scratch to LangGraph | Sarang Sanjay Kulkarni, Vishal Karmalkar, Megha Agarwal | 53m |
Builds a pure Python React agent that runs thoughts → actions → observations using the OpenAI API (GPT‑4) plus function calling and stubbed tools for weather… | ||
| A practical guide to Distributed Systems Architecture | Unmesh Joshi, Ayushi Dey | 43m |
Python examples are rewritten into a Langraph workflow that hardcodes three tool mocks for get_weather, get_flight_info and a calculate function so the demo… | ||
| AI: It AI-n't what you think! | Geoffrey Hinton | 01h 00m |
Claims that large models AI hallucinates facts — examples include a false death report and bogus customer-service refunds — and that generative systems are… | ||
| Top eight game-changing technology trends shaping the IT industry | Bharani Subramaniam, Vanya Seth | 01h 02m |
Eight concrete trends: rigorous context poisoning risks (hallucinations, distraction, confusion, conflict) push a new field of context engineering with RAG, KV… | ||
| Breaking Boundaries: Multi-cluster with Cilium cluster mesh | Aditya Avanth Kaki | 32m |
Cilium Cluster Mesh uses eBPF and WireGuard to extend pod-to-pod networking across clusters, deployed as a node-level CNI daemonset plus a cluster-mesh API… | ||
| Blackbox reverse engineering: Rebuilding without source code | Thiyagu Palanisamy, Chandirasekar Thiagarajan | 42m |
Rebuilds a decades‑old retail system’s core functionality in one week using only static UI files, DB schema, historical recordings and native DLLs; combines… | ||
| Building Agentic AI Assistants: Lessons from productionising agents in Preclinical R&D | Sarang Sanjay Kulkarni, Priyalakshmi R, Bernice M | 36m |
Built system called PRINCE unifies 20,000+ PDF reports (vector DB/OpenSearch) and Athena tables via retrieval-augmented generation plus text-to-SQL and agent… | ||
| The elephant in the cloud: Strategies of cloud cost optimisation | Shakir Shakiel A, Ankit Adlakha | 33m |
Recommends a concrete 3‑6‑9 approach: classify services (self‑hosted, managed, serverless), avoid six pitfalls, apply nine optimizations and governance. Claims… | ||
| Accessible products, experiences and partnerships | Dipsi Kundal, Pooja Joshi | 27m |
Thoughtworks claims accessibility as an engine for product innovation, showing concrete results: co-designed the Amplio music app for auditory accessibility… | ||
| GenAI meets Data Mesh: From data product design to enterprise intelligence | Balvinder Khurana, Sreerupa Dutta Auditto, Antony Prince J, Pallavi Sinha | 35m |
An AI-powered recommender combines an LLM with a knowledge base/vector search to auto-match raw columns to standardized names, descriptions and data-quality… | ||
| Building better platforms: A capability maturity model for infrastructure engineering | Saptak Takalkar, Sunit Parekh | 31m |
Presents a concrete capability maturity model with five levels (novice→strengthening), maps platform capabilities (delivery infra, observability, CI/CD… | ||
| nothing matches | ||