Own the release path without flag debt.
- Control points minted and retired for you
- Guardrails wired from the tools you already run
- Less hand-rolled ramp YAML per change
Your AI release engineer Your coding agent writes it.
Your coding agent writes it.
Fireweave ships it.
Build the feature. Forget how it ships. Fireweave takes every change to production safely — then shows you its stability and adoption in real time.
Built for teams shipping with → CursorClaude CodeCodexOpenCodeCline
Why now
Agents write faster than teams can safely ship.
Coding agents multiplied the volume of change. Review, rollout planning, monitoring, and rollback are still done by hand.
Try it yourself
Your release console. Live.
A control point is the versioned switch that decides which version of your code a user runs. Here is every one of them, across every environment. Click any cell to drive a rollout — drag the ramp, promote it forward, or roll it back. Push a risky change too hard in production and watch the guardrail catch it.
2
Control points
1
Live in production
13%
Avg prod rollout
1
Rolled back
Click a control point to expand its environments · click an environment to drive the rollout or hit Auto ramp.
Guardrail armed · high-risk change in production. Auto ramp climbs while error rate and p95 stay green — and reverses the instant they breach.
Live readout · Production
Status ramping
Exposure~12k users
Guardrail green
Cohort40 accounts running 90% of checkouts
Full reach 48,000 users in Production
The agent watches error rate and p95 latency at every step. Hit Auto ramp to simulate a live ramp — it advances while metrics stay green and reverses
the moment a guardrail breaches.
Why it matters
The release checklist you never write again.
Manual release flow — you, every time
✓Create and name the control points
✗Wire logs, metrics, tracesmissed
✗Define guardrails + rollback planmissed
✗Retire control points after 100%control debt
With Fireweave — prerequisites, handled
✓Control points created, coordinated, sequencedauto
✓Telemetry wired per change typeauto
✓Guardrails on; rollback is the defaultbuilt-in
✓Control points retired after clean soakauto
Zero release cognitive load. You ship growth; Fireweave ships safely.
Outcomes
Numbers that hold under load.
What teams see once Fireweave owns the release path — fewer manual steps, safer ramps, faster path to full production.
0+ production rollouts managed Design-partner aggregate
0% of unsafe rollouts stopped early Design-partner aggregate
0.0× faster path to full production Illustrative vs. manual release path
0% less manual release work Design-partner self-report
<0 days to first production value Typical design-partner onboarding
Early design-partner programs · illustrative where noted — not audited public benchmarks.
Who it’s for
Built for the people who own the ship.
Whether you run the platform, the team, or the engineering org — Fireweave takes agent-speed change the last mile to production.
Agent velocity, without release babysitting.
- Review can’t scale to agent speed — rollouts can
- Cohort proof advances the ramp, not silence
- Rollback is a flip, not a war room
Production proof, not another dashboard.
- Stability and adoption as first-class signals
- Safely in production becomes the default path
- Live walkthrough — no slides — in thirty minutes
FAQ
Questions teams ask before they ship with Fireweave
Direct answers for engineering leaders evaluating Fireweave — your AI release engineer.
What is Fireweave?
Fireweave is your AI release engineer. It takes every coding-agent change to production safely with control points, cohort rollouts, guardrails, and live stability and adoption signals — so you can focus on the feature, not the release checklist.
How does Fireweave work with Cursor, Claude Code, and other coding agents?
A one-time install injects ship-safe skills into your coding agents. From then on, agents keep working as they do today — same prompts and flow — and every change they build comes out rollout-ready: wrapped at a control point, safe to ship, with adoption measured from the first user.
What is a control point in Fireweave?
A control point is the versioned switch that decides which version of your code a user runs. Fireweave mints, versions, coordinates, and retires control points for you — nothing to integrate or hand-wire for each change.
Does Fireweave replace feature-flag tools like LaunchDarkly?
Fireweave owns the release path end-to-end: wrapping changes, ramping cohorts, wiring telemetry, and rolling back when signals dip. Teams often keep existing flag vendors as optional inputs; Fireweave’s control points and rollout agent remain the system of record for safe production shipping.
What observability tools does Fireweave integrate with?
Fireweave plugs into the metrics, logs, traces, alerts, and chat tools you already run — including Datadog, Prometheus, Grafana, Elastic, Splunk, Sentry, New Relic, PagerDuty, Slack, and custom webhooks. Your stack feeds signals; Fireweave runs the release.
How do I get started with Fireweave?
Book a 30-minute live demo with a Fireweave engineer — no slides. After that, a one-time CLI setup installs skills into your coding agents so every subsequent change is born rollout-ready.
What is an AI release engineer?
An AI release engineer is software that owns production rollout for changes written by coding agents: it wraps each change at a control point, ramps traffic cohort by cohort, watches stability and adoption signals, and auto-reverts when guardrails trip — without a human babysitting every release.
How is Fireweave different from progressive delivery tools like Argo Rollouts or Flagger?
Progressive delivery tools typically ramp deployments or services. Fireweave ramps features and coding-agent changes at control points, with change-specific plans, telemetry wiring, and adoption evidence — so the unit of shipping is the rollout of a feature, not only a container deploy.
Does Fireweave require my code or secrets to leave my infrastructure?
No. Fireweave is designed so your code and secrets stay in your infra. The one-time install uses signed binaries and least-privilege tokens; injected ship-safe instructions are reviewable code in your repo.
Who is Fireweave for?
Fireweave is for platform and DevEx teams who own the release path, engineering managers whose coding agents outran review capacity, and CTOs who want production proof — stability and adoption — without another dashboard to babysit.
Still deciding? Book a live demo · See how it works · Browse integrations
Works with the tools you already run see integrations →
Ship with confidence.
Your agents are already fast. Fireweave makes them safe to follow — all the way to production.