I find it fascinating to see how quickly, and in how many directions, practical AI ideas are multiplying right now. I installed OpenClaw recently and set up some daily prompts - show me interesting information, mine some RSS feeds I like - it has helped me learn new things each day… But I did not expect the breadth of different agent orchestration and LLM architectures it would present to me regularly.
A recent Red Hat post about āspecification-driven developmentā caught my interest. I’ve tried bolting AI onto my personal development practices. It doesn’t look like whispering an idea into an LLM then compiling the response… I can’t give the LLM my brain and have it replace all my work beyond the idea.
I have had success when providing a description of the end result, then working alongside an agent to refine and move towards that result iteratively. For me, personally, that’s a significantly different pattern for development than usual.