The boring layer around your LLM call
Article summary
Quick briefing — cleaned from the original RSS feed
Most of what I learned this year came from building the interesting parts. The retrieval, the prompts, the agent loop. The stuff that's fun to think about. Then I put a FastAPI endpoint in front of one of my projects, showed it to a friend, and watched him break it in about four minutes. Not maliciously. He just asked something long and weird and the request sat there spinning until he closed the tab. That's when I realised the model was maybe a third of the actual work. The rest is the stuff…
1Key Takeaways
- Most of what I learned this year came from building the interesting parts.
- The retrieval, the prompts, the agent loop.
- The stuff that's fun to think about.
- Then I put a FastAPI endpoint in front of one of my projects, showed it to a friend, and watched him break it in about four minutes.
2AIWedia Score
8.2/10
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Based on source trust, recency, category impact, and story depth.
3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that most of what I learned this year came from building the interesting parts.
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