When Engineers meet AI
Kannan KalidasanAn engineer writing about Open Source AI, Software Agents, Physical AI and AI Engineering for builders who lead and leaders who build.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 70 | Founded | 3 years ago | Last Issue | 9 days ago |
| Active | |||||
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engineersmeetai.substack.comLatest Issues
Package Intelligence for Engineers & Coding Agents
I want to explore is how coding agents make engineering decisions when we haven't already made those decisions for them. I use open source package dependencies selection as an example and show how the decision-making happens inside the codi...
How Do We Measure AI Systems?
One of the first operational concepts you'll encounter when building AI applications is rate limiting. Unlike traditional APIs, modern AI platforms don't simply limit the number of requests or account credits. Instead, they manage capacity...
🐍 Python Meets 🦀 Rust
I have been experimenting with combining Rust and Python in a few open source projects, mainly to bring together the strengths of both languages.
https://github.com/kannandreams/tuff
The pattern that worked well for me was to keep Python...
Tarpaulin: Code Coverage for Rust Projects
Testing tells us whether our code behaves as expected. Code coverage tells us how much of our code was actually exercised by those tests.
In Rust, one of the easiest ways to measure test coverage is cargo-tarpaulin.
Tarpaulin is a code c...
The Token-Aware Engineer
A few years ago, software engineers spent most of their time writing code. Today, we increasingly spend our time generating it.
Image Source
Whether you’re using Claude Code, Codex, Cursor, OpenCode, or another coding agent, the workflow...
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Read about how to create scalable, intelligent systems; spanning Data, AI Tooling, Software Engineering, and Engineering Philosophy.
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