Turning our lessons from building high-speed AI-assisted products into simple, repeatable practices for every team.
AI workflows, formal specs, local dev-stacks, security sweeps & team dogfooding.
Upfront planning & DB design, shared ownership, smart reviews & tiered CI.
Upgraded AI Devkit, smart CI templates, and a ready-to-use Project Starter Kit.
The habits and foundations (Group 1) that let a lean team ship ambitious scope.
Shared AI skills, clear repo rules, and Linear tracking kept fast parallel work organized and transparent.
Modeling core logic upfront plus a one-command local test environment saved days of manual debugging.
Dedicated security and concurrency reviews caught critical edge cases before users ever touched them.
Daily collaboration unblocked issues in minutes, and testing together as real users exposed hidden UX gaps.
AI made writing code fast — shifting our real bottlenecks to planning, ownership, Ops, and CI.
Jumping straight into features without early database design or Ops planning caused late rewrites and deploy delays.
Written rules were skipped under pressure, tiny ticket splits created noise, and human handoffs lost context.
Key areas depended on one person (Bus Factor = 1), and high-impact PRs lacked consistent human review.
Small updates waited in heavy CI queues, while AI sometimes wrote superficial tests that only tested mocks.
Make safe practices automatic instead of relying on memory.
Follow a consistent Plan → Build → Verify workflow instead of ad-hoc prompting.
StandardRun built-in AI security & concurrency checks before merging critical changes.
SafetyUse automated hooks (not just docs) to lock scope and require human approval on risky ops.
Hard GateKeep smaller tasks whole to avoid ticket noise, and optimize Linear context for clarity.
TrackerAttach clear status & next steps on branches/tickets so any teammate can step in fast.
Team FlowEach planning step leads into the next — backed by early Ops alignment, push-back, and Oncall.
New mid-sprint asks require a scope swap or wait for the next cycle.
Ops & engineers align on deployment in Phase 1 — not launch week.
Structured builder-then-team dogfooding + clear PagerDuty oncall.
Removing single-person bottlenecks while right-sizing code review by impact.
Routine, low-risk changes are reviewed automatically by AI with a clear summary — keeping daily delivery fast.
AI pre-checks the diff first, then a Lead or Backup owner reviews architecture, data safety, and breaking impact.
Fast checks on small PRs, deep checks on risky ones, and scheduled full runs on main branches.
AI skill blocks tautological tests and pairs suites with formal verification.
Matches CI effort to actual PR, code & ticket risk.
Periodic full runs keep main branches green without slowing PRs.
Four concrete initiatives any CommandOSS team can adopt out of the box.
Ship reusable Security & Audit skills, the Anti-Tautological Test skill, strict lockdown hooks, and human handoff + Linear context templates.
Package a plug-and-play CI workflow for Light / Medium / High PR routing and periodic canonical-branch batch runs across CommandOSS repos.
Publish ready-to-clone Notion & Linear templates for Upfront Planning + DB Design, Scope Lock + Push-Back, the Ownership Triangle, and Formal Dogfooding.
Standardize our Phase-1 Ops deployment checklist, PagerDuty setup, and reusable secure-enclave starter tooling so future teams avoid late infra surprises.