Craft and judgment still matter. Maybe now more than ever.
AI can generate code faster than we can read it. That makes the engineering, the judgment about what to build, how to verify it, and when to say no, the scarce skill, not the typing.
Engineering in the Age of AI is a space about exactly that: how experienced engineers work with AI tools without outsourcing their thinking to them. We write about agentic coding workflows, testing and review practices that survive AI-generated code, monorepo and CI/CD governance, and the habits that separate "it runs" from "it's right."
- Companion code for our articles
- Project-agnostic, generic agentic tools for common engineering tasks
| Repository | Description |
|---|---|
| agent-toolkit | A collection of project-agnostic, generic agentic tools for common engineering tasks. Designed to work with any kind of AI agent on any kind of software development project. |
- Francesco Borzì — co-founder
- Stefanos Lignos — co-founder
- 📖 Medium publication
- 💬 Found a bug in companion code? Open an issue on the relevant repo — we treat article code like production code.
Opinions are our own. Code is MIT-licensed unless a repo says otherwise.