11fab37379
## Summary
Every PR's blocking checks were dominated by redundant full rebuilds,
not by tests. Measured on recent runs: the Gate job spent ~6 of its ~7.5
min on a cold `pnpm build` (the exact-key dist cache missed on virtually
every PR) for ~45s of actual boot smoke + gate tests; Build ran ~8 min
and Typecheck ~4 min, both fully cold every time. Expected end state
once the warm job has run on main: all four blocking checks in roughly
2–4 min wall-clock.
### Gate job
- New `gate-dist-*` cache namespace with `restore-keys`, additionally
caching `.fusion/cache/plugin-build-cache.json` (build-workspace's
per-package content-hash skip cache) and `packages/cli/dist`. The
always-run `pnpm build` reconciles a near-match restore by content hash
and rebuilds only the packages the PR touched. This is safe *because*
the gate builds after restoring — the shard jobs' "no restore-keys" rule
(FN-4232/FN-4605 stale-dist incidents) still stands there, since they
consume dist without building.
- `FUSION_CLI_FULL_PACKAGE=0` on the gate build: skips the multi-minute
CLI desktop/plugins/DTS packaging tail nothing in the gate consumes
(same shape `pnpm verify:fast` proves locally). Full CLI packaging
coverage stays blocking in the Build job.
### Build job
- Restore-only tap (`actions/cache/restore`) of the same warmed cache.
Restore-only because this job runs FULL CLI packaging (`CI=true`) and
saving that shape would swap the cache's canonical fast-CLI contents out
from under the Gate job. Its distinctive coverage is preserved:
`ensureFullPackageCliPlanned` force-plans the CLI in full mode
regardless of cache state.
### Typecheck job
- Caches per-package tsc incremental buildinfo — self-validating (tsc
hashes every input against it and re-checks whatever changed), so
`restore-keys` is correctness-neutral by construction.
- **Fixes a real incrementality bug:** `tsconfig.json` and
`tsconfig.app.json` in the dashboard both inherited
`${configDir}/dist/.tsbuildinfo` from `tsconfig.base.json`, so the two
typecheck programs clobbered each other's buildinfo and re-checked the
full program every run — incremental typechecking never worked for the
dashboard, in CI or locally. `tsconfig.app.json` now writes
`dist/.tsbuildinfo-app`. Measured: dashboard typecheck 44s cold → 5.6s
warm.
### Warm job (full-suite.yml, push to main)
- New `warm-gate-build-cache` job saves both caches from main on every
push. Caches saved on a PR merge ref are invisible to other PRs, so
without this every PR's *first* run would still build/check cold.
## Guardrails
`ci-workflow.test.ts` pins the coupled invariants so they can't drift
apart silently:
- restore-keys requires the reconciling `pnpm build` after restore,
before boot smoke
- the mtime-defeating seed step stays exact-hit-only
- byte-identical cache path lists between the Gate/Build/warm blocks
(actions/cache versions caches by path list — a drifted list makes
caches mutually invisible)
- Build stays restore-only and must NOT opt out of full CLI packaging
- Typecheck cache shape + the distinct dashboard app buildinfo path
## Notes
- First PR runs after this lands still build cold until the warm job has
run once on main.
- No changeset: CI config + test-only per AGENTS.md.
## Verification
- `ci-workflow.test.ts` + `package-config.test.ts`: 106 tests pass
- Dashboard typecheck run twice locally: 44s cold → 5.6s warm, both
`.tsbuildinfo` and `.tsbuildinfo-app` written, exit 0
- Cache block path/key parity verified programmatically across both
workflow files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Performance**
* Improved CI build and type-check performance through incremental
caching.
* Added cache warming from the main branch to speed up pull request
checks.
* Enabled faster CLI packaging during gate validation while retaining
full packaging coverage elsewhere.
* **Bug Fixes**
* Prevented dashboard TypeScript build information from being
overwritten, preserving incremental type-checking reliability.
* **Tests**
* Added coverage to verify CI cache behavior, build ordering, cache
paths, and packaging modes.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
@runfusion/fusion
From rough idea to production code — automatically.
Multi-node agent orchestrator — tasks, agents, missions, git, files, and worktrees, with any model, local or cloud.
runfusion.ai → · GitHub · Docs
Install
Zero install, straight from npm:
npx runfusion.ai
Boots the dashboard. Subcommands forward through (npx runfusion.ai task list, etc). Long form: npx @runfusion/fusion dashboard.
One-line installer (macOS & Linux — auto-picks Homebrew, falls back to npm):
curl -fsSL https://runfusion.ai/install.sh | sh
Homebrew (macOS & Linux):
brew install runfusion/fusion/fusion
Fully-qualified install auto-taps and, on Homebrew 6.0+, trusts only this formula. If short-name install fails with “untrusted tap”, run brew trust --formula runfusion/fusion/fusion then brew install fusion.
npm global:
npm install -g @runfusion/fusion
fn dashboard # or: fusion dashboard
Launch the dashboard
From a shell:
fn dashboard # or: fusion dashboard / npx @runfusion/fusion dashboard
fn dashboard --paused # start with automation paused
fn dashboard --dev # development-mode dashboard + AI engine
fn dashboard --no-engine # web UI only, no AI engine
The dashboard gives you:
- A live kanban board — tasks move through columns automatically as AI works on them
- Task detail view — generated spec, step-by-step progress, reviewer verdicts, full execution log
- Dependency-aware scheduling — declare task dependencies or let the engine infer them
- Auto-merge — on by default; reviewed work squash-merges without you lifting a finger
- Parallel execution — independent tasks run simultaneously in isolated git worktrees
- Self-sustaining board — agents may spawn follow-up tasks; the board feeds itself
Your entire dev environment. On a single pane of glass.
Describe a task in plain language. A triage agent reads your project, understands context, and writes a full PROMPT.md spec — steps, file scope, acceptance criteria. Then Fusion plans, reviews, executes, and reviews again, in an isolated git worktree, with a human approval gate wherever you want one.
One board. Controlled from anywhere. Laptop, Mac mini, Linux server, cloud VM, phone — all connected.
Run an agent company
Import a team. Run it autonomously for weeks. 440+ agents across 16 companies, wired for missions, mailboxes, and inter-agent delegation.
npx companies.sh add paperclipai/companies/gstack
How it works
You create a task with a rough description. A pipeline of specialized agents takes over.
Specification. A triage agent reads your codebase — file structure, existing patterns, related code — and turns your rough idea into a detailed spec. It breaks the work into discrete steps, identifies which files are in scope, writes acceptance criteria, and assigns a complexity rating that determines how aggressively the work gets reviewed.
Scheduling. Tasks declare dependencies on each other. The scheduler builds a dependency graph and starts work only when upstream tasks are done. Independent tasks run in parallel — each in its own isolated git worktree, so there are no conflicts during execution.
Execution & review. An executor agent works through the spec step by step in the worktree. At each step boundary, a separate reviewer agent, with read-only access, independently evaluates the work. The reviewer can approve (continue), request revisions (fix specific issues), or force a rethink (change the approach entirely). Review depth scales with the task's complexity rating: trivial tasks get light checks, complex tasks get thorough multi-pass review.
Merge. When execution finishes and the reviewer signs off, the task moves to In Review:
- Direct merge (default) — automatically squash-merges the completed task branch into your current branch with a clean commit.
- Pull request — automatically creates or links a GitHub PR, waits for reviews/checks, then merges once policy conditions are satisfied.
autoMerge controls whether Fusion performs completion automatically. If disabled, tasks stay in In Review until you finish the merge yourself. For PR-first mode, authenticate GitHub with gh auth login.
Tasks flow through: Triage → Todo → In Progress → In Review → Done.
This execution model is heavily based on Taskplane.
What makes it different
| 🧠 AI specification | Rough idea in, detailed PROMPT.md out — steps, file scope, acceptance criteria. |
| 🔁 Workflow gates | Plan → Review → Execute → Review on every step. Block or pass automatically. |
| 🌳 Worktree isolation | Each task runs in its own branch and worktree. Parallel tasks. Zero conflicts. |
| ⚡ Smart merge | Passing every gate? Fusion squash-merges and moves on. |
| 🛰️ Multi-node mesh | Laptop, server, cloud, phone — all synced. Desktop, mobile, web. |
| 🧩 Any model | Anthropic, OpenAI, Ollama, and more. |
| 🏢 Agent companies | Import pre-built teams — 440+ agents across 16 companies. |
| 📬 Inter-agent messaging | Built-in mailbox between agents. Delegate, clarify, coordinate. |
| 🗺️ Missions | Hierarchical planning with autopilot and validation contracts. |
| 🔓 Open source. MIT. | No vendor lock-in. Run it on your own hardware. |
Working from chat
Manage tasks without leaving the conversation:
"Every ten minutes, analyze the server code for logic the client hasn't implemented yet and create tasks. Tasks may spawn additional tasks, so just add enough to keep the board saturated."
"Create a Fusion task to fix the login redirect bug"
"Add a task for dark mode support, it depends on FN-003"
"What's the status of FN-042"
"Attach screenshot.png to FN-007"
"Pause FN-012 — I want to add more context first"
The Fusion extension exposes tools to create tasks, check progress, attach files, and pause or resume automation.
Standalone CLI
See STANDALONE.md for additional installation and usage options.
Optional provider: Factory AI via Droid CLI
@runfusion/fusion now ships a vendored @fusion/droid-cli extension in the published CLI bundle.
To use it:
- Install the
droidbinary and ensure it is on yourPATH - Authenticate with Droid CLI (
droid auth login) - In Fusion dashboard, go to Settings → Authentication and enable Factory AI — via Droid CLI
- Restart Fusion when prompted so the extension is loaded into the runtime
Once enabled, droid-cli models appear in Fusion model selection.
Maintainer note: workspace plugins in published CLI bundles
When CLI or dashboard runtime code imports workspace plugin packages (for example @fusion-plugin-examples/roadmap), those imports must stay statically analyzable and covered by packages/cli/tsup.config.ts noExternal rules so plugin runtime code is inlined into dist/bin.js.
Do not introduce dynamic or variable module specifiers for workspace plugin runtime paths in the published execution path. If a workspace plugin is needed for bundled auto-install, stage a bundled plugin entry (dist/plugins/<id>/bundled.js) rather than copying raw TypeScript source into dist/.
Full documentation
Architecture details, development setup, and contributor info live in the project README.
License
MIT — see LICENSE.