AI Engineering Enablement
Making engineering teams actually faster with AI.
I'm Jaideep Narang — an engineering leader writing about AI tooling adoption in the enterprise: governance, platforms, and rollout patterns that survive contact with a large regulated organisation. Patterns and lessons, never internal specifics.
Publish pipeline
# draft in obsidian → push → deploy
$ git push origin main
→ astro build · zero JS shipped
→ deploy cloudflare pages
✓ live in 24s
$ git push origin main
→ astro build · zero JS shipped
→ deploy cloudflare pages
✓ live in 24s
cloudflare · deployed github-actions · green tailscale · mesh
Homelab
Infrastructure judgment, kept honest.
Writing about
Notes on shipping AI, at the pattern level.
Three threads this site follows.
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Enterprise AI adoption
Rolling out coding agents safely and productively inside a large, regulated organisation — the patterns, not the internals.
Read more → -
The homelab
A C4-style architecture, a Tailscale mesh, and self-hosting as a way to keep infrastructure judgment sharp.
Explore → -
Architect → AI leader
What carried over from architecting platforms to leading the people who build on them — and what didn't.
Read more →