quantum-loop

Quantum-Loop is a Claude Code plugin plus scripts that implements a spec-driven autonomous coding loop: it turns a one-line feature description into structured PRD/spec artifacts, builds an execution dependency DAG, runs TDD/quality checks with two-stage review gates, enforces “fresh verification evidence” (Iron Law), and iterates with retry/failure logging until stories pass and then performs cross-story integration before committing changes.

Evaluated Mar 30, 2026 (22d ago)
Repo ↗ DevTools agentic-coding claude-code-plugin autonomous-development spec-driven verification worktrees dag tdd review-gates quantum.json
⚙ Agent Friendliness
53
/ 100
Can an agent use this?
🔒 Security
12
/ 100
Is it safe for agents?
⚡ Reliability
31
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
70
Error Messages
0
Auth Simplicity
100
Rate Limits
0

🔒 Security

TLS Enforcement
0
Auth Strength
10
Scope Granularity
0
Dep. Hygiene
20
Secret Handling
35

Security analysis is limited by provided documentation. Strengths: evidence-based verification and explicit contract enforcement (e.g., shared secret key names) reduce logical drift; worktree isolation can limit cross-story contamination. Concerns: running autonomous agents that modify and commit code increases risk of accidental or malicious changes depending on repository permissions; README does not detail how secrets are protected from logging beyond general mention of contracts (e.g., secret key names). No explicit TLS/auth model is applicable since it is local plugin/CLI behavior; dependency hygiene and CVE status are not verifiable from the provided content.

⚡ Reliability

Uptime/SLA
0
Version Stability
30
Breaking Changes
20
Error Recovery
75
AF Security Reliability

Best When

You want a disciplined, autonomous coding workflow that minimizes spec drift and “looks good” claims by using evidence-based verification and gated reviews—especially for multi-story changes with dependencies.

Avoid When

You need a simple one-shot code generator or you can’t permit running multiple background agents/worktrees and committing to a local repo.

Use Cases

  • Autonomously implementing a feature from a short description with structured PRD/spec and acceptance criteria
  • Reducing agent “hallucinated completion” by requiring fresh command outputs for verification
  • Managing complex multi-part changes with dependency ordering (DAG) and parallel worktrees
  • Enforcing code quality via stage-1 spec compliance and stage-2 code quality review gates
  • Running overnight/iterative coding sessions with persistent state (quantum.json) and retry logic

Not For

  • Production systems needing a stable, externally hosted API/SaaS interface
  • Environments where agents are not allowed to modify repositories/commit changes
  • Use cases that require strict data residency/compliance guarantees not addressed by the tool itself
  • Teams that want lightweight prompting without heavy governance/review gates

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: Local plugin / CLI usage inside Claude Code
OAuth: No Scopes: No

No external API authentication described. The main interaction is via Claude Code plugin commands and local scripts that run agents and git operations.

Pricing

Free tier: No
Requires CC: No

Pricing not applicable/unspecified in provided README content; cost depends on Claude Code/model usage during autonomous runs.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Documented

Known Gotchas

  • Parallel worktrees may still cause conflicts if story file-conflict filtering misses edge cases; merges/retries depend on the orchestrator’s filtering and git behavior.
  • Agents must commit before signaling; if an agent crashes or times out, uncommitted work in its worktree can be lost per README.
  • Python isolation is described as PYTHONPATH injection to avoid editable-install races; if a project relies on editable installs, behavior may differ.
  • Parallel agents share a single Python interpreter; concurrency-sensitive test/build steps could still interfere depending on project tooling.
  • Timeout/stale detection defaults (e.g., 15 min execution, 20 min staleThreshold) may cause extra retries for slow CI-like tasks.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

8642
Packages Evaluated
17761
Need Evaluation
586
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