The core problem RStack solves
AI coding agents fail at software delivery for predictable reasons:- They code before requirements are clear
- They over-edit unrelated files
- They pass work as “done” without testing
- They forget previous mistakes and repeat them
- They make risky actions (deploys, deletes) without asking
The team model
RStack organizes agents into three teams:The lifecycle
.rstack/runs/<run_id>/.
Asset types
Agents
Markdown files that define agent roles, tools, and operating contracts.
Skills
Reusable workflow instructions that can be included in task packets.
Plugins
Domain packs bundling agents, skills, and commands for specific areas.
Run State
Durable per-run artifacts: plan, specs, tasks, approvals, traceability, evidence.
Asset counts
The RStack package currently ships:| Asset type | Count |
|---|---|
| Agents | 196 |
| Skills | 156 |
| Prompts | 36 |
| Plugins | 72 |
Pipeline routing
The orchestrator maps lifecycle tasks to the right SDLC agents:| Pipeline stage | Agents involved |
|---|---|
| Product clarification | 00-environment, 01-transcript |
| Requirements | 02-requirements, 04-planning, 05-jira |
| Architecture | 06-architecture, 12-security-threat-model, 14-cost-estimation |
| Implementation | 07-code |
| Testing | 08-testing |
| Security review | 12-security-threat-model, 13-compliance-checker |
| Documentation | 03-documentation, 10-summary |
| Release readiness | 09-deployment, 10-summary, 11-feedback-loop |