AI Coding Summit

AI Coding Summit 2026

Louis from Vibe Kanban discusses optimizing workflows for software engineers with coding agents, focusing on planning and review. Leveraging AI tools like GitHub Copilot and ChatGPT can enhance productivity by reallocating time effectively. Reflecting on time saved by AI, the focus is on optimizing planning and reviewing to boost productivity. Emphasizing detailed planning processes and effective use of AI coding agents to ensure successful outcomes. Simplifying reviewing processes to save time and enhance productivity through efficient code review. Leveraging Codex and Claude coding agents for efficient code review to optimize time and workflow. Minimizing time spent on code review by providing feedback to coding agents within the editor, working on multiple tasks in parallel, and automating tasks requested by AI for enhanced productivity.

<p>Code generation scales. Planning and review don't, limiting how fast AI-native teams can ship. This talk traces the evolution of developer tooling to the current explosion of coding agents, and makes the case for why the biggest opportunity now is helping engineers plan and review faster.</p>

Why Software Engineering Is Becoming: Plan and Review

Louis Knight-Webb

React Summit US

React Summit US 2025

Chaitanya, Principal Engineer at Atlassian, discusses the design system at Razorpay, the impact of AI on UI development, and the integration of AI with design systems for enhanced productivity. Detailed prompts for AI to build UI components can be cumbersome. Imagine a seamless process where AI interprets Figma designs to create UI. Leveraging design expertise and focusing on business logic, not writing detailed AI prompts. Blade's MCP server facilitates the magic of transforming Figma designs into UI code by collaborating with Figma and OpenAI.

<p>This talk explores how we built an AI-powered system that transforms Figma designs into production-ready React code using Razorpay’s custom Design System. Learn how we solved the problem of brand inconsistency in generic AI tools and created a solution that understands our unique design language, enabling faster development without compromising on quality.</p>

Design to Code Using a Custom Design System with AI

Chaitanya Deorukhkar

C3 Dev Festival

C3 Dev Festival 2024

This Talk explores the world of coding assistants powered by language models (LLMs) and their use cases in software development. It delves into challenges such as understanding big code and developing models for context in LLMs. The importance of ranking and code context is discussed, along with the use of weak supervision signals and fine-tuning models for code completion. The Talk also touches on the evaluation of models and the future trends in code AI, including automation and the role of tasks, programming languages, and code context.

#code generation