"Whereas developers used to write most of the code they sent to production, today that fraction is barely 10 or 5%. This new paradigm is very recent, and we probably don't yet fully understand all of its implications. But perhaps we can already imagine what it means for web frameworks and how they will evolve in the coming years."
"For a framework to break through today and be widely used, it must be understandable not only to humans but also to AI. If an agent has difficulty interpreting it and generates erroneous code most of the time, requiring systematic manual correction, then the framework will have a serious disadvantage."
"AI will rely primarily on documentation to learn and ultimately produce its code. To increase the relevance of responses, documentation will need to excel in three areas. First, it will have to be very detailed. Every part of the framework and every feature will need to be fully documented."
AI agents have fundamentally transformed software engineering, with developers now writing only 5-10% of production code. This shift demands a new approach to web framework design and evolution. Frameworks must be intelligible to both humans and AI systems to remain viable. AI agents primarily learn from documentation to generate code, making documentation quality critical. Future frameworks require first-class documentation that is exceptionally detailed, covering every feature and component. Documentation must include abundant examples and recipes explaining not just how to use features but why they exist. This comprehensive approach ensures AI agents can generate relevant and accurate code without requiring systematic manual corrections.
#ai-agents-in-software-development #framework-design-and-evolution #documentation-requirements #ai-understandable-code #future-of-web-frameworks
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