Developers should adopt iterative exploration and frequent rebuilding when code generation is cheap and fast, to maximize value and manage risks.

Lessons for Agentic Coding: What should we do when code is cheap? L: https://www.dbreunig.com/2026/05/04/10-lessons-for-agentic-coding.html C: https://news.ycombinator.com/item?id=48019025 posted on 2026.05.05 at 03:05:25 (c=0, p=3)

Lessons for Agentic Coding: What should we do when code is cheap? ---- - 24 minutes ago | 3 points | 0 comments - URL: https://www.dbreunig.com/2026/05/04/10-lessons-for-agentic-coding.html - Discussions: https://news.ycombinator.com/item?id=48019025 - Summary: The article presents ten lessons for "agentic coding"—developing software with AI agents like Codex and Claude Code. As frontier models make generating code cheap and fast, developers must adapt their workflows to maximize value while managing new risks. The lessons emphasize iterative exploration over upfront planning: implement and rebuild frequently to learn, while keeping specifications synchronized with code changes. Invest in end-to-end tests verifying function rather than implementation details, and document intent alongside code to maintain consistency. Developers should automate easy tasks to focus on "the hard stuff"—intuitive design, performance, security, and architecture—where human expertise creates value. While agents amplify technical experience and taste, they don't eliminate the need for domain knowledge. Finally, the article warns that though code generation is inexpensive, maintenance, support, and security remain costly—treating agentic code as "free as in puppies." These guidelines offer durable strategies for working with AI coding tools as capabilities evolve, stressing that human judgment in complex problem-solving and system design remains irreplaceable.

Lessons for Agentic Coding: What should we do when code is cheap? - https://www.dbreunig.com/2026/05/04/10-lessons-for-agentic-coding.html #hackernews