
The messy side of AI engineering — RAG pipelines, agentic systems, and the bugs nobody puts in the blog post.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 13 | Founded | 4 months ago | Last Issue | 23 days ago |
| Active | |||||

There was a time when writing tests felt like a tax on building software. You had already written the code, it worked, and now you were being asked to write more code whose only job was to prove the first code did what you already believed...
In Part 1, I built a local SDXL pipeline to understand how a text prompt becomes an image. It worked. But I ended that article with a limitation I could not solve:
Surgical edits are impossible. You cannot say "only change the shoes." The...
Tuesday morning, my Substack notifications were buzzing with mentions of Pangram. At first, it didn’t really matter to me. I’ve always felt that what’s being said is more important than who’s saying it or who helped put it together. However...
Last week I reviewed a pull request. Over 800 lines, generated in minutes by an AI coding assistant. The logic wasn’t wrong. The tests passed. But buried in there, the code took the scenic route everywhere. Converting values from one format...
You open a repo you haven’t touched in three months. The code runs. The tests pass. But you can’t remember why that config value is 7.5 instead of something else. You can’t remember why there are three pipeline paths instead of one. You def...
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The writers behind this newsletter.
Building with AI from a software engineer's perspective, 10+ years deep. Hands-on experiments with agentic systems and scalable design, the stuff that rarely makes the feed. If you're a dev navigating the AI shift, let's figure out what works.
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