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patchhive/README.md

🐝 PatchHive

PatchHive logo

Autonomous software maintenance that stays visible, reviewable, and trustworthy.

PatchHive is a software maintenance platform for teams that want codebase upkeep to become visible, reviewable, and progressively automated.

It is not another interactive coding assistant. PatchHive is built around autonomous, outbound contribution: it finds maintenance work, evaluates risk, remembers repo-specific lessons, and can open clearly attributed pull requests when the operator allows it.

What PatchHive Does

PatchHive turns maintenance from a pile of scattered signals into an operating loop:

  1. Detect maintenance pressure before it becomes urgent.
  2. Review risk before automation touches code.
  3. Remember conventions, failures, and reviewer feedback across runs.
  4. Generate patches only after the signal and trust layers are in place.
  5. Coordinate the suite through one control plane without making products dependent on it.

Every product remains standalone. HiveCore brings them together into one interface.

Product Suite

Product Role
SignalHive Finds stale work, duplicate issues, recurring bug patterns, TODO/FIXME hotspots, and maintenance drag.
TrustGate Reviews diffs against repo-specific safety rules and returns safe, warn, or block.
RepoMemory Stores durable repo conventions, review feedback, hotspot history, and failure lessons.
FailGuard Cross-cutting RepoMemory capability that turns bad outcomes into future guardrails.
RepoReaper Finds fixable issues, generates patches, validates them, and opens attributed pull requests.
ReviewBee Converts PR review threads into an actionable follow-up checklist.
MergeKeeper Decides whether a PR is actually ready to merge, blocked, or on hold.
FlakeSting Detects flaky CI behavior and explains why the signal is unstable.
DepTriage Ranks dependency update noise by urgency and practical impact.
VulnTriage Turns security alerts into an engineering queue with clear next steps.
RefactorScout Surfaces conservative, high-value refactor opportunities.
HiveCore Centralizes suite visibility, shared defaults, run history, and product launch control.

How The System Fits

Layer Products What They Contribute
Discovery and signals SignalHive, FlakeSting, DepTriage, VulnTriage, RefactorScout, ReviewBee Surface maintenance pressure from issues, CI, dependencies, security alerts, refactor candidates, and PR review threads.
Trust and memory TrustGate, RepoMemory, FailGuard, MergeKeeper Evaluate risk, preserve repo-specific lessons, convert bad outcomes into guardrails, and decide whether PRs are truly merge-ready.
Autonomous action RepoReaper Turns trusted candidate work into validated patches and clearly attributed pull requests.
Suite control plane HiveCore Brings standalone products into one operating interface for health, launch control, shared defaults, run history, and product handoffs.

PatchHive matures automation in that order: visibility first, trust and memory second, autonomous write actions after that foundation exists. HiveCore coordinates the suite, but every product remains independently runnable and useful on its own.

Why It Is Different

PatchHive is designed for radical delegation, not chat-driven pairing.

  • Operators choose broad topics, languages, auth, and safety settings.
  • Products discover candidate repos, issues, PRs, and risks on their own.
  • Autonomous PRs should come from the PatchHive GitHub identity.
  • PR bodies disclose that the work was generated by PatchHive.
  • Trust is earned through visible output, reviewable evidence, and consistent history.

The goal is not to pretend automation is human. The goal is to make automation constrained, legible, and useful enough that maintainers can judge it on the work.

Current Focus

PatchHive already has the core product suite, shared Rust crates, shared frontend shell, Docker support, exported standalone mirrors, and HiveCore control-plane wiring.

The active path is:

  1. Bring up SignalHive, TrustGate, and RepoReaper together.
  2. Use HiveCore to monitor health, capabilities, run history, and contract drift.
  3. Exercise the first real handoff path: SignalHive finds work, TrustGate evaluates risk, RepoReaper acts only when the gate is clear.
  4. Feed rejected or painful outcomes back into RepoMemory through FailGuard.

Local Development

Run HiveCore as the suite control plane:

cd products/hive-core
cp .env.example .env
docker compose up --build

HiveCore defaults:

  • Frontend: http://localhost:5183
  • Backend: http://localhost:8100

Most products can also run independently:

cd products/<product>
cp .env.example .env
docker compose up --build

For split local development:

cd products/<product>/backend
cargo run

cd ../frontend
npm install
npm run dev

Backends bind to 0.0.0.0 by default for Docker compatibility. For loopback-only local runs, set:

PATCHHIVE_BIND_ADDR=127.0.0.1

Repository Model

PatchHive is monorepo-first. Products and shared foundations are built here, then exported to standalone mirrors under the patchhive GitHub organization.

The standalone repos make each product easier to inspect, run, and adopt, but the monorepo remains the source of truth.

Core Principles

  • Maintenance work should be continuously visible.
  • Automation should be constrained and reviewable.
  • Repo-specific memory should improve future decisions.
  • Outbound contribution should be clearly attributed.
  • Safety gates should come before autonomous write actions.
  • Trust should be earned through signal quality, not hype.

Status

PatchHive is in active alpha. It is being built for real operator use first; broader adoption comes after the system proves it can produce useful, reviewable maintenance work consistently.

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