#code generation

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.

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.

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.