Location TBC
Hosted by WeAreDevelopers
India's developer and AI engineering community gets its definitive gathering: two full days of technical depth, hands-on learning, and peer connections. WeAreDevelopers brings its world-class conference format to Bengaluru for the first time, creating a space where 3,000+ developers, 500+ decision-makers, and 100+ speakers converge to tackle the real challenges of building production software in the AI era. What Makes This Conference Different This isn't a buzzword parade. WeAreDevelopers Conference India focuses on practical engineering knowledge across the full software lifecycle—from system design and AI engineering to deployment, operations, and team leadership. Expect live coding sessions, technical workshops, and talks that bridge the gap between AI experimentation and production reality. Who Should Attend Whether you're a hands-on engineer working with ChatGPT and Claude daily, a tech lead architecting AI-powered systems, or a developer curious about multimodal AI and LLM orchestration—this event brings together India's builders, innovators, and technical decision-makers under one roof. Learning Tracks Cover Real Engineering Challenges AI Engineering with LLMs: Work with large language models, agents, and multimodal systems. From model selection to orchestration, evaluation, and real-world constraints. Production AI Done Right: Move beyond demos to resilient, observable systems. Address latency, cost, failure modes, and operational realities. Modern Software Architecture: Design systems that scale with real-world demands. Learn where AI belongs—and where it doesn't. Build Smarter with AI: Improve developer velocity with AI-assisted coding, testing, and refactoring without sacrificing code quality, security, or ownership. DevOps & Continuous Delivery: CI/CD, automation, and platform strategies for teams shipping software every day, built for both AI and classic workloads. Security by Design: Reduce risk across code, dependencies, APIs, and supply chains with practices that integrate into modern builder workflows. Data Foundations: Build data pipelines and platforms that AI systems actually rely on—structured data to unstructured, vector-based workflows. Testing & Quality: Modern testing and validation for distributed and nondeterministic systems, ensuring confidence as software evolves. Engineering Leadership: Build teams that
