Real cost breakdown: 10 packs, $0.60 LLM bill, $42K saved per regulated feature
Per-feature, per-MVP, per-quarter numbers. Hardware ratios, runway math, and the honest places where the savings stop.
Per-feature, per-MVP, per-quarter numbers. Hardware ratios, runway math, and the honest places where the savings stop.
Startups have often reached out to me with the same problem: their team could ship a regulated feature in days, but the compliance setup around it took weeks and tens of thousands of dollars.
47 paired P0 incidents across 12 repositories. 4 honest misses. Full methodology + how to replicate the measurement in your own repo.
Not a complaint about lawyers. A breakdown of where the six weeks actually go, and which parts of it are mechanical.
Regex vs LLM-based archetype detection, the false-positive count, and why I keep rejecting the obvious fix.
The bottleneck in agentic SDLC isn't model quality — it's process governance. Here's the state machine that closes the gap.
Eight stages, two human gates, four memory layers. Why this exact shape, and what I tried that didn't work.
One run, one feature, from prompt to merged PR. Time, cost, and gate-by-gate breakdown — no marketing math.