Loop Engineering 🔗
You don't really need to be good at prompting anymore. The thing to get good at is the loop that does the prompting for you. It's five building blocks [...]
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You don't really need to be good at prompting anymore. The thing to get good at is the loop that does the prompting for you. It's five building blocks [...]
Technical debt lives in your code. Cognitive debt lives in your head. Intent debt lives in the artifacts you may have never wrote: the goals, constrai [...]
Starting more agents is easy now. However, more agents running doesn't mean more of you available - your cognitive bandwidth doesn't parallelize. All [...]
Right now, it's too easy to let AI write the code while you skip the learning. The bug gets fixed. Your mental model doesn't move. We are silently tra [...]
Cognitive offloading is delegating to the AI and still owning the answer. Cognitive surrender is when the AI's output quietly becomes your output and [...]
AI coding agents take the shortest path to done, which usually means skipping the specs, tests, and reviews that make software reliable at scale. Agen [...]
A long-running agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failu [...]
A coding agent is the model plus everything you build around it: prompts, tools, context policies, hooks, sandboxes, feedback loops. Harness engineeri [...]
AI coding agents consume documentation fundamentally differently from humans. If you're still optimizing only for human readers, you're leaving a grow [...]
Running multiple agents in parallel is not just a question of throughput. It is a new kind of cognitive labor that requires managing multiple mental m [...]