Focus on the Solution, Not the AI Hype
AI hype promises autonomous software factories and imminent AGI. In the customer trenches every day, the real work looks very different.
AI hype promises autonomous software factories and imminent AGI. In the customer trenches every day, the real work looks very different.
I threw out my prescriptive agent harness and rebuilt it around Anthropic's v5 guidance. The migration was miserable. The results are worth it.
Two frontier models couldn't draw an ASCII map of the US. Why LLMs read ASCII art fine but can't write it, and what that says about the jagged frontier.
A horror show about a town with no rules cracked open something I've been chewing on: what belongs in an AI harness, and what should be left to the agent.
Eric Schmidt says programming is ending. A programmer from 1945 would say it ended forty years ago. Both are right, and both are wrong.
I'm a HUGE BELIEVER in people being able to leverage tools better when they understand how they work. Black boxes don't breed confidence in users. So let's do that with Agentic Development Systems.
I can't remember the last time I went a day without seeing an article about '[Google has 25% of code generated by AI](https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/)' or '[GitHub Copilot is writing 46% of code](https://github.blog/2023-06-27-the-economic-impact-of-the-ai-powered-developer-lifecycle-and-lessons-from-github-copilot/)' or '[Amazon Q has saved 4,500 developer-years](https://aws.amazon.com/q/developer/)'. The knowledge isn't in the line count. It's in how they got there.
AI tools are genuinely transforming software development. But the flood of executives claiming to ship 10,000 lines of code while running companies reveals a fundamental misunderstanding of what we're building.