Agent Experience: Best Practices for Coding Agent Productivity
Why do coding agents shine in some projects and fail in others? This article explains how to design your codebase so agents work autonomously and effectively.
Marmelab founder and CEO, passionate about web technologies, agile, sustainability, leadership, and open-source. Lead developer of react-admin, founder of GreenFrame.io, and regular speaker at tech conferences.
Why do coding agents shine in some projects and fail in others? This article explains how to design your codebase so agents work autonomously and effectively.
Kiro, Spec-kit, Bmad, Tessl, and other SDD frameworks turn business analysts into Markdown reviewers. Isn't there a more agile way to use Coding Agents?
AI coding assistants can build software in semi-autonomy, but without specifications, projects lack functional definitions. The solution? Extract problem statements directly from conversation logs.
Developers often try to eliminate errors from AI agents. But science shows that being wrong — within reason — is what makes intelligence adaptive.
A new breed of developers is emerging. They ship production code daily but can't write a for loop. They're not imposters – they're the future of programming.
Do we still need developers where a business analyst can build an app with Claude Code?
We built a proof-of-concept of a new mobile OS based on a LLM, where the notion of application disappears and the UI adapts to the current task. Is it the future of computer UX?