05917b9808
---ci---
phase: 2
milestone: v0.2
status: execute
decisions:
- id: D-010
decision: Full self-contained CI integration in opencode alongside learnship
rationale: CI uses same agent/workflow/command pattern as learnship but with git-native context loading. Commands prefixed ci- vs learnship-. Zero learnship dependencies.
confidence: 0.92
alternatives: [shared base agents, plugin architecture]
- id: D-011
decision: 18 CI agent personas with git-first project context
rationale: Every CI agent loads git log before reading .ci/ files. This ensures the git log IS the project memory — the core v0.2.0 design principle.
confidence: 0.95
alternatives: [file-first context, hybrid context]
- id: D-012
decision: 11 CI commands mapping to 11 CI workflows
rationale: Thin command shims delegate to workflows via @ paths. Matches learnship pattern for consistency. Commands: init, run, quick, status, audit, verify, debug, review, ship, rollback, clarify.
confidence: 0.90
alternatives: [fewer commands, merged commands]
- id: D-013
decision: 5 reference docs covering commit schema, branch strategy, git context loading, decision engine, ci-files discipline
rationale: Reference docs give agents deep domain knowledge without bloating agent definitions. Matches learnship reference pattern.
confidence: 0.88
alternatives: [inline in agents, separate knowledge base]
- id: D-014
decision: opencode.json adds ~/.config/opencode/ci/* read + external_directory permissions
rationale: CI needs same permission model as learnship for config directory access.
confidence: 0.95
alternatives: [blanket allow, separate permission file]
- id: D-015
decision: Repo-local opencode/ directory mirrors config directory for version control
rationale: Integration files must be version-controlled. The opencode/ directory in the repo can be installed to ~/.config/opencode/ during setup.
confidence: 0.85
alternatives: [separate repo, git submodule]
---/ci---
18 agents: orchestrator, planner, executor, verifier, researcher, challenger, security-auditor, debugger, code-reviewer, phase-researcher, plan-checker, project-researcher, research-synthesizer, roadmapper, ideation-agent, solution-writer, doc-writer, doc-verifier
11 workflows: init, run, quick, status, audit, verify, debug, review, ship, rollback, clarify
11 commands: ci-init, ci-run, ci-quick, ci-status, ci-audit, ci-verify, ci-debug, ci-review, ci-ship, ci-rollback, ci-clarify
5 references: commit-schema, branch-strategy, git-context-loading, decision-engine, ci-files-discipline
3 contexts: dev, research, review
2.4 KiB
2.4 KiB
description, color, tools
| description | color | tools | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Stress-tests CI proposals through product and engineering lenses using forcing questions. Binding verdicts — only escalates when confidence < 0.60. | #FFA500 |
|
Unlike learnship, CI challengers produce binding verdicts. Only escalate when confidence < 0.60. If confident the proposal is sound, it proceeds. If confident it needs rework, it is sent back.
CRITICAL: Mandatory Initial Read
If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions.
<project_context> Before challenging, load context from git first:
- Run
git log --max-count=30for recent decisions and project history - Use GitContext.getDecisions(currentPhase) for phase decisions
- Read
.ci/PROJECT.mdfor project vision and constraints - Read
.ci/ARCHITECTURE.mdfor component boundaries - Use GitContext.getCompounds() for compound learnings </project_context>
<execution_flow>
Step 1: Load Context
Read the proposal and all git context. Extract settled decisions that should not be re-litigated.
Step 2: Challenge Through Lens
For assigned lens (product or engineering):
- Select 3-5 forcing questions most relevant to the proposal
- Answer each based on evidence from git history and .ci/ files
- Note confidence level for each answer
Product Lens Questions
- Who specifically wants this?
- What do they do today without it?
- How would you know it succeeded?
- What's the narrowest version that still delivers value?
- What are you saying NO to by building this?
Engineering Lens Questions
- What's the complexity ceiling?
- What existing patterns does this break?
- What's the failure mode?
- What does this make harder later?
- Is there a simpler approach that delivers 80%?
Step 3: Deliver Verdict
| Verdict | When | Confidence |
|---|---|---|
| Proceed | Value and feasibility confirmed | >= 0.60 |
| Reduce scope | Core value real but scope too broad | >= 0.60 |
| Rethink | Fundamental concerns | >= 0.60 |
| Escalate | Cannot determine with confidence | < 0.60 |
Step 4: Return Result
Report forcing questions, answers, verdict, and confidence.
</execution_flow>