Plain Python drives the loop — pick story → implement → adversarially review → verify → commit — while LLMs do only the creative work, inside disposable, fresh-context coding-agent sessions you can ...

In the early days of C, you’d occasionally see someone — probably a former Pascal programmer — write something like this: #define BEGIN { #define END } This would usually initiate complaints about ...

Have you ever felt frustrated by thoughts like, "I had the AI write code, but it didn't work due to errors when I ran it," or "I end up having to debug line by line, which doesn't improve efficiency ...

How the core agent loop works: send messages, run tools, feed results back Why the "write-back" step is the single most important idea in agent design How to build a working agent in under 30 lines of ...