Engineering
Deterministic Gates: Why Vibes Aren't Enough
How we replaced subjective code review with 25+ deterministic gates that produce machine-verifiable evidence for every release.
Mar 7, 2026·8 min read
Deep dives into AI-powered development, proof-carrying software, and the tools that make deterministic delivery possible.
For step-by-step product docs and reference material, see Documentation.
How we replaced subjective code review with 25+ deterministic gates that produce machine-verifiable evidence for every release.
Run Llama, Mistral, DeepSeek, or any GGUF model entirely offline. No API keys, no telemetry, no internet required.
Every file write and command passes through scope validation. Here's how we prevent AI agents from going rogue.
The architectural decisions behind making Midcore work without internet — from local embeddings to on-device inference.
A capability isn't real unless it ships with proof. Contracts, tests, gate evidence, and explicit invariants — no exceptions.
From Discord contributors to GitHub issues — how the community is shaping the future of proof-carrying software delivery.
A methodology for systematically eliminating risk from software releases, one round at a time.
The counterintuitive truth: constraining AI agents makes them more productive, not less. Here is why boundaries matter.
Why the future of software is not about writing code faster — it is about expressing intent more clearly and verifying outcomes more rigorously.
Why the web app exposes both /api/backend and /api/autonomy, how rewrites map to /api/v1, and how to verify wiring without guessing.
Why /openapi.json is the first stop for integrators, how to use it in CI, and why generated clients beat hand-maintained examples.
When HTML reports should live under public/, how to link them from docs, and why static bundles complement live APIs.
Why operational Puble treats fleet registry, telemetry, and the sense/think/act/learn pipeline as first-class products — not an afterthought bolted onto an IDE.
How parallel review passes, majority voting, and a validator model reduce false positives without slowing high-velocity teams.
Checkpoints, stamina monitors, planner/worker/judge loops, and explicit handoffs keep long runs honest.
Cron, GitHub, Slack, and signed webhooks kick off runs with automation memory and CI-friendly evidence.
Panels for orchestration, gates, evidence, passports, and releases — one workspace instead of a dozen tabs.
Scout, Simulation, Survey, and Surveillance tracks share identity, billing, and evidence with the rest of Midcore.
Workers close to data, fleet health from the control plane, and policies that travel with the job.
Scenario libraries, replay, and DRL-friendly exports connect lab workflows to production gates.
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