Define
This is where the work goes. You design the change exhaustively before any code is written — the problem, the scope, what's in and what's explicitly out.
/stack-control:define
stack-control · an agent plugin
Coding agents need a babysitter.
Coding agents are insane, hyperintelligent toddlers — they lie, they get bored, and they shove beans up their nose the second you stop watching. stack-control is the babysitter: an agent plugin that runs every change down an assembly line — heavy design up front, implementation fanned out across agents at once, and independent audits on every diff, so correctness never rides on how much attention you had to spare.
[ 01 ]
The Method
01
Front-load design
Spend the effort before any code moves. Exhaustive design up front is what makes everything downstream hands-off.
02
Invest in tooling
Adopt the best machinery there is — Spec Kit, the agent CLIs, the multi-agent audit — instead of hand-rolling it.
03
Industrialize production
Then step back and let the line run: automated, audited, regular — never riding on how much attention you can spare.
[ 02 ]
The Lifecycle
Implement
Tasks are delegated to specialized subagents and committed at clean task boundaries — never one giant blob.
/stack-control:implement
Audit
Every task gets a multi-agent audit — multiple reviewers fired in parallel against the diff, findings triaged.
Repeat
Audit findings point implementation back to the happy path. Run Implement → Audit until the diff comes back clean.
lifecycle · phase rail
- 01 Define
- 02 Implement
- 03 Audit
- 04 Repeat
[ 03 ]
What / Why / How
WHAT
An assembly line for change
stack-control wraps every change in a disciplined line — define once, then implement and audit on a loop until the diff is clean — instead of letting an agent freestyle from prompt to merge.
WHY
Agents cause brilliant chaos
Left unsupervised, agents drift: they skip scope, over-build, confabulate, and ship work no one checked. The line is the adult supervision — gates between intent and merge.
HOW
Best practices, not bespoke
Underneath, it's the state of the art — a Spec Kit spec and its dependency graph, the coding-agent CLIs, subagents — wired into one opinionated line. stack-control runs the graph in parallel where it can and in order where it must, across agents and providers, then audits every diff with independent models. A thin shell over the best tools, not a homegrown framework.
[ 04 ]
Devlog
Control Your Psychotic Child: Stochastic Guardrails for Coding Agents
How do you put guardrails on a coding agent that's a psychotic child — confidently, fluently wrong several times a day? You do what we've always done with unreliable processes: inject genetic diversity and apply relentless selective pressure. This devlog traces the discovery of stochastic correctness and the audit barrage — two AI agents building the same feature, a dead SCSI protocol decoded by mutual cross-examination, and a panel of rival model CLIs fired at every diff. The most useful guardrail I've built for agentic coding, and I didn't design it — I bred it. Still being figured out, in public.
Coding Agents Are Insane, Hyperintelligent Toddlers
So I built them a babysitter. The origin story of an agentic-development process — from hand-coding audio DSP and sampler SysEx control to stack-control, an opinionated assembly line on top of Spec Kit that keeps the audit barrage and scope discovery. With receipts from the commit log and session transcripts.
PIPELINE
Standing up a site with its own lifecycle plugin
stackcontrol.org was built with stack-control — the same toolchain the site documents. Here's what running the loop — define, implement, audit, repeat — on a real feature actually looked like.