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 · 9 pages
→ deploy cloudflare pages
✓ live in 24s
$ git push origin main
→ astro build · 9 pages
→ deploy cloudflare pages
✓ live in 24s
cloudflare · deployed umami · live tailscale · mesh
Homelab
Infrastructure judgment, kept honest.
Writing about
Enterprise AIGovernancePlatform toolingHomelabEngineering leadership
Writing
Notes on shipping AI, at the pattern level.
The Work
Three threads this site follows.
Enterprise AI adoption
Rolling out coding agents safely and productively inside a large, regulated organisation — the patterns, not the internals.
Read moreThe homelab
A C4-style architecture, a Tailscale mesh, and self-hosting as a way to keep infrastructure judgment sharp.
ExploreDeveloper → EM
What carried over from writing code to leading the people who write it — and what didn't.
Read more