The Autonomous Stack

Dev & Release · Release & Changelog · v2.0

Agent Feature Flags v2.0

Autonomous feature-flag debt auditor.

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What's inside

Feature flags are created in minutes and removed never. After a year a codebase carries dozens of permanently-on toggles, dead branches nobody dares touch, and flags referenced in code that no one ever declared. That debt is invisible until it causes an incident.

This agent correlates your flag registry with the actual references in your codebase, classifies every flag, and emits a ranked removal plan — safest and cheapest removals first.

Install

sudo bash install.sh          # deps + venv + systemd service
bash install.sh --no-service  # venv only

Use

python agent.py scan       # flag references found in the code
python agent.py audit      # registry x code -> classified findings
python agent.py plan       # ranked removal plan (lowest blast radius first)
python agent.py report     # human-readable debt report
python agent.py status     # config + LLM backend status
python agent.py run --once # one full cycle, writes the report

Point it at your data with FLAGS_REGISTRY and FLAGS_CODE_ROOT — see CUSTOMIZE.md.

What it detects

Verdict Meaning
ORPHAN referenced in code but absent from the registry — nobody owns the behavior
EXPIRED its own expected_removal_date has passed
ZOMBIE declared with zero code references — pure registry rot
STALE 100% rolled out for months — the disabled branch is dead code
RISKY_KILL_SWITCH emergency switch with no owner or no code path
AGED_EXPERIMENT experiment past any statistically useful window
UNOWNED no accountable owner

Each flag gets a weighted score; the total is your debt score. Use run --once --fail-over-budget as a CI gate.

Bring your own LLM (optional)

Classification is fully deterministic and needs no LLM — the agent is complete offline. If a coding-agent CLI (Claude Code / Kimi Code / Codex) is logged in, it is used to review the removal ordering and flag operational risks, using the prompts in PROMPTS.md. No API key is ever required: your CLI subscription is the billing relationship.

By design the LLM can only annotate findings the deterministic rules already produced. A hallucinating model cannot invent a flag or change a verdict.

Tests

bash smoke_test.sh   # 13 offline tests, no keys, pinned clock

Languages scanned

Python, JS/JSX, TS/TSX, Go, Ruby, Java, Kotlin, PHP, C#, Rust, YAML and JSON, via 9 built-in SDK call patterns — extend with FLAGS_EXTRA_PATTERNS.