Two approvals instead of four
What changed in great_cto: the pipeline stopped needing a courier, and one check worth thirty seconds before you read the rest
What changed in great_cto: the pipeline stopped needing a courier, and one check worth thirty seconds before you read the rest
86 commits under one slogan: the system is allowed to not know — it is not allowed to not know confidently. A green-tests-broken-UI story, a benchmark that caught its own judge cheating, and why an empty list is the most dangerous answer an agent system can give.
The catalog grew from 10 US industries to 15, and 40 products to 60 — but the news isn't the count, it's the kind. The five new verticals are all regulated: allied health, dental, insurance, accounting & tax, and law firms. Describe a product in one of them and the pipeline attaches the matching compliance reviewer — HIPAA, NAIC, SOX, or the bar rules — automatically.
The pipeline used to start at the architect, so the first decision you approved was HOW to build. But the most expensive mistakes are made before that — in WHAT to build. So we added a product-owner agent that frames the problem, runs a 4-model idea debate, and hands the architect a validated brief. The gate moved to it.
Approve a gate → an agent spawns and streams live. Plus: a self-improvement loop with anti-overfit gating, $0 context compression, scope-pinned task briefs, and Fable 5 support.
Durable runs, an inbox for licensed humans, a signature ceremony for irreversible writes, and an Ops tab with a dead-letter queue. WCAG 2.2 AA, axe-core: 0 violations.
From 6 to 25 verticals in one week — each runs on live connectors, and the runtime physically refuses to fire an irreversible action without a human signature.
A discovery pipeline, a quota-warning hook, a digital-health pack — and a no-drama model upgrade.
–87.7% tokens per pipeline run. Not by squeezing — by splitting.
One install, everything works. Companion plugins, jurisdiction-aware agents, 16 new board features.
Added email alerts and browser push to the board. Because 'check the terminal every 5 minutes' is not a workflow.
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.