Releezy Guardian
The whole org, one health picture.
Cost, people, cycle time, code durability — and the reviewer effectiveness number for every reviewer on your team. This is where Monday's "is it working?" gets a real answer.
Open GuardianEngineering Effectiveness for continuous improvement
Your engineering ally for continuous improvement.
AI is scaling software output faster than companies can scale the judgment needed to improve it.
Releezy observes engineering work in your Git repositories, reveals where to act and recommends the next move. It tracks the outcome and learns from every cycle, so you can see what your next improvement should be.
- Signal 49.6% of a squad's reviews go through one person
- Add a second reviewer · target −10 p.p.
- You decide
- Tracking the same metric · 4 weeks
- Cycle recorded · team memory +1
// FROM EVIDENCE TO IMPROVEMENT
Releezy Concierge is your advisor for engineering improvement.
Dashboards show a snapshot of your engineering system. Releezy Concierge turns that data into a priority, a recommended action, a tracked result and a memory of what worked.
- Signal
- Diagnosis
- Recommendation
- Action
- Result
- Memory
Why are this squad's PRs taking so long to merge?
A single person is handling 49.6% of the squad's reviews, and the queue waits on them. Releezy Concierge recommended redistributing review ownership, then tracked whether concentration fell and flow improved.
// COST PER DELIVERY
What did each PR cost? And was it any good?
Releezy measures the AI cost of every run, request by request, and attributes it to the PR it produced. Humans, humans with AI, and autonomous agents: every delivery carries its cost and its outcome, on the same ruler. The number shows up next to what matters: the PR merged, survived, or needed a fix.
AI cost per PR · last 30 days
| PR | Author | Runs | AI cost | Outcome |
|---|---|---|---|---|
| #1482 feat(checkout) | m-santos + agent | 3 | $4.12 | Merged · survived |
| #1477 fix(sync) | loop agent | 1 | $1.86 | Merged · survived |
| #1466 refactor(api) | j-lima + agent | 4 | $6.40 | Fixed after 9 days |
| #1451 feat(billing) | p-costa | 2 | $2.75 | Merged · survived |
// ONE ISSUE, END TO END
Follow one issue through the loop.
Discovery drafts it, an agent implements it, review hardens it — and Releezy Guardian measures every step. Then the numbers flow back as context for the next run.
Releezy Plan
Drafts the story map and publishes the issue.
Issue #212 published · $1.20
Model: Opus
Releezy Loop
An agent implements it in a governed container.
PR #87 opened · $2.40
Model: Sonnet
Releezy Reviewer
Reviews the PR against your project rules.
3 comments resolved · $1.10
Model: GPT-5
Releezy Guardian
Measures the outcome against your baseline.
92% effectiveness · total $4.70
Deterministic — no model
Releezy Suite
The modules that turn engineering evidence into improvement.
Start with Releezy Guardian: connect one repository, read-only, and see your baseline computed from history you already have. The other modules join at your pace.
Releezy Concierge
The improvement ally.
Releezy Concierge reasons over engineering evidence and company goals to identify what should improve next. It recommends the action to the person with the right leverage, tracks the result and learns while the decision stays human.
Open Releezy ConciergeReleezy Guardian
The evidence layer.
Releezy Guardian measures delivery, flow, quality and collaboration through repository evidence. It gives Releezy Concierge the facts needed to diagnose where improvement matters.
Open GuardianReleezy Loop
Agents under governance.
Releezy Loop puts autonomous agents to work under defined governance. Their execution becomes part of the same measured improvement cycle.
Open LoopReleezy Reviewer
The customized code reviewer.
Releezy Reviewer reviews every pull request and turns its findings into engineering signals. Each review helps improve both the code being merged and the system producing it.
Open ReviewerReleezy Plan
The discovery agent.
Releezy Plan sharpens intent, scope and acceptance criteria before code is written. Better discovery gives people and agents a clearer path to build.
Open PlanReleezy Advisor
The readiness analyst.
Releezy Advisor deeply analyzes the code and the repository's readiness for change. It exposes architectural risks, missing foundations and what needs attention before execution.
Learn more// WHERE WE SIT
Agents execute. Releezy improves the system around them.
Coding agents increase software output. Releezy helps engineering leaders keep that output governed, measurable and aligned with company goals.
The agents
Claude Code Codex Cursor OpenCode Gemini CLI whatever ships next
Commodities that get better every six months. When they improve, you improve — automatically.
The harness
The Releezy suite
Releezy brings autonomous execution under governance. It measures the signals produced across code, delivery and collaboration. Releezy Concierge connects that evidence to priorities, recommends action, tracks the result and carries the learning into the next improvement cycle.
Execution scales output; Releezy scales improvement.
// SEE IT RUNNING
This is what trust looks like.
One scoreboard for every contributor. Releezy Guardian shows who — human or AI — actually makes the code better, straight from your own git history.
Releezy Loop
Agents at work, receipts included.
Watch every run land with status, tokens, and cost in real time. A runaway agent hits its spending limit before it hits your invoice.
Open LoopReleezy Reviewer
Our reviewer, your ruler.
Releezy Reviewer shows up with a number next to your humans from the first comment. If it scores below your baseline, you see it before we do.
Open ReviewerReleezy Plan
Discovery, before the code.
The upstream module: real user signal turned into problems worth solving. It joins the loop with the same honesty as the rest of the suite.
Open Plan// PICK YOUR LENS
Which one is you?
One engineering system. The view you need.
Make continuous improvement part of how engineering works.
Give engineering an ally that turns evidence into action. Improve continuously with trust, connecting every recommendation to facts and every action to its result.
In an engineering team of 102 developers, Releezy analyzed 13,784 pull requests. The evidence showed that one person handled 49.6% of reviews in a single squad. Releezy Concierge recommended redistributing review ownership to reduce that concentration. It then tracked the effect, turning a hidden pattern into a measured improvement cycle.