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Hey Reader, An interesting thought is popping up in conversations around AI agents: the environment around the thing matters more than the thing itself. Last week I read about Harness engineering and it felt very familiar. As if it was tapping into instincts I already had. If you’ve ever debugged a flaky test only to find the problem was in the setup, not the assertion, that instinct will feel natural. But at the same time it also feels like an unfamiliar territory. It borrows the same...
Hello Reader, AI can generate code, arguably with a pretty decent quality. That’s not news anymore. The question that’s been forming in my head all week is different: how do we decide what should go into production? Writing code is not the hard part (arguably, it never was). The hard part is making sure the right code ships and the wrong code doesn’t. And right now, that selection problem is becoming the defining challenge of AI-assisted development. Last week has definitely showed this....
Hey Reader, If you’re reading this, chances are you care about quality. Coming from QA, I never stop looking at the apps I build and systems I use through the lens of quality. Now, with more and more code being written by AI, this question matters more than ever. Many people wonder whether AI is even capable of delivering quality. I think it is. Though it’s worth remembering that quality is multidimensional. You can always have more or less of it. When it comes to AI and specifically LLMs,...