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First thing is first, this is really cool. This feels like the right way to frame LLM-assisted engineering. AI can generate a shocking amount of code, but the a
by raychis 3mo ago
First thing is first, this is really cool.
This feels like the right way to frame LLM-assisted engineering. AI can generate a shocking amount of code, but the actual value is in the review discipline, and tests around it. The browser Kubernetes angle is cool, but what I find more interesting is the workflow, and especially testing behaviour against k8s instead of just trusting “looks right.” I do wonder how many teams are already doing this level of verification for AI-written code. It might be the direction everyone goes in over the next few years.
- ambicapter 3mo agoI mean this is a specific case where you literally have a spec to code against. Not all coding endeavors have that opportunity, unfortunately.
- kridsdale1 3mo agoFor a lot of us, the spec is Product Market Fit and Profit Dollars.
- samwho 3mo agoThis is it. If you’re building something novel, and you want to rely on LLMs, you need to invest heavily in making tests. You don’t have the luxury of a reference implementation like I did here.