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Engineering 5 posts

Every post filed under Engineering, newest first.

When generation is free, knowing which AI code to discard is the skill
3 min read

When generation is free, knowing which AI…

MIT and Wharton data shows massive upstream code gains that fade before release. The highest-leverage move is killing bad agent diffs before they reach a human reviewer.

90% of devs use AI coding tools. 30% do not trust the output. That gap is the job.
4 min read

90% of devs use AI coding tools.…

DORA's 2025 survey of nearly 5,000 tech professionals shows universal AI adoption and persistent skepticism about generated code. Here is how I wire trust-but-verify without killing throughput.

From SDLC to ADLC: how I orchestrate agents without drowning in PRs
6 min read

From SDLC to ADLC: how I orchestrate…

Agents write at machine speed. Humans still own merge. An Agentic Development Lifecycle playbook: guardrails, test agents, review tiers, and what to discard before it hits your queue.

AI agents write 741% more code. Releases rise 20%. Here's the data.
6 min read

AI agents write 741% more code. Releases…

MIT and Wharton tracked 100,000+ GitHub developers through the full pipeline. Code volume explodes. Shipping barely moves. What the attenuation effect means if you run agents today.