Releezy
The scoreboard.
Measures every contributor — your humans and every AI tool — on a single scoreboard. Your senior engineers set the baseline. AI tools are compared against them.
The fixed reference for every contributor on the scoreboard.
// FOR CTOs & ENGINEERING DIRECTORS
The Releezy suite measures every contributor — your humans and every AI tool — on a single scoreboard. Your senior engineers set the baseline. Every AI tool is compared against them. Cross-tool. Longitudinal. Honest.
Trust built with data. Your engineers set the standard — we just show you the scoreboard.
// THE REVIEW TAX
You cannot hire your way out. The bottleneck is senior review capacity, and adding juniors makes it worse. What you need is not more throughput — it is a governance mechanism for the transition your CEO will not reverse.
Your seniors carry the architecture in their heads, and they are spending it on PR review. Every one of them you lose is irreplaceable.
Your AI tool dashboard reports hours saved. Your cycle-time dashboard reports the opposite. Both can be right only if the cost is hiding somewhere measurable.
You need one scoreboard that judges your humans and every AI tool you pay for on the same scale — so you can see who is earning their place.
// THE GAP
The gap is the transition. The shape of the gap — for your codebase, your people, your tools — is what Releezy Guardian measures every day. You see the gap. You decide what to do about it.
Stable reference from your own first-party review history. Set by your seniors, not by us.
Across Copilot, Cursor, and bundled review agents in our own pilot data.
// THE DIRECTION OF ADAPTATION
Releezy Guardian's standard does not soften to favor Releezy Loop or Releezy Reviewer. Loop and Reviewer harden to meet it. Never the reverse.
When a vendor ships both a measurement system and the products it measures, the usual failure mode is that the measurement bends. Benchmarks get re-weighted. Categories get re-drawn. The score flatters the shipper.
Our commitment is the opposite. Every Releezy Loop run and every Releezy Reviewer comment lands on the scoreboard alongside your humans' work — measured against the same human baseline. When one of our modules underperforms your baseline, the module is what changes — not Guardian.
This is how integrity and integration coexist. The measurement is the fixed reference point. The products adapt to it. If you ever catch us softening the standard, you should fire us from the contract.
In the Releezy suite, Guardian is the fixed reference. Loop, Reviewer, and Plan move to meet it.
// THE SUITE
Releezy is a suite the way JetBrains is a suite. Releezy Guardian is the measurement core — it measures humans and AI alike. Releezy Loop is the governed orchestrator for CLI coding agents. Releezy Reviewer is the project-customized autonomous reviewer. Releezy Plan is the discovery agent upstream of code. Every module is measured by Guardian against the same human baseline.
The scoreboard.
Measures every contributor — your humans and every AI tool — on a single scoreboard. Your senior engineers set the baseline. AI tools are compared against them.
The fixed reference for every contributor on the scoreboard.
The governed harness.
Governed orchestration for CLI coding agents — with audit events, spending limits, review queues, and monitoring. Every Loop run lands on the Guardian scoreboard alongside your humans.
Every Loop run feeds Guardian, and every Guardian signal shapes the context for the next run.
The customized reviewer.
Project-customized autonomous code review. Rules derived from your measured reality — not from consensus across unrelated repos. Judged on the same Guardian metric as every other reviewer on your team.
Measured by Guardian with the same rules as every other reviewer on your team — including the comments where humans win.
The discovery agent.
PM / PO discovery in the problem space, upstream of code. Measured by the outcomes Guardian observes downstream — so even the earliest conversations leave a trace on the scoreboard.
Discovery upstream of code, measured from day one by the outcomes Guardian sees downstream.
// INDUSTRY DATA — PRIMARY SOURCES
Every number below links to the original report. Sample sizes in the caption. If it is not auditable, it is not on this page.
PRs merged / review time
+98% / +91%
High-AI-adoption teams merged 98% more PRs — and spent 91% more time on review. +9% bugs per developer. No correlation between AI adoption and company-level performance.
Faros.ai AI Productivity Paradox Report — 10,000+ developers, 1,255 teams →AI-PR vs human-PR acceptance
32.7% vs 84.4%
AI-generated PRs merge at 32.7%. Human-written PRs merge at 84.4%. AI PRs wait 4.6x longer for review before the decision lands.
LinearB 2026 Software Engineering Benchmarks — 8.1M PRs, 4,800 teams →Distrust vs verification
96% / 48%
96% of developers do not fully trust AI-generated code. Only 48% always verify before committing. The verification gap is a governance failure, not a discipline problem.
Sonar 2026 State of Code Developer Survey — 1,149 developers →Harness determines outcome
42 → 95%
Same model, same questions, different harness: performance swung from 42% to 95%. The harness is the product. This is why governed orchestration — not raw API calls — is the right architecture.
Anthropic / Sayash Kapoor — SWE-Bench Claude Code analysis, 2026 →Agentic projects canceled by 2027
40%
40% of agentic AI projects will be canceled by 2027 due to unanticipated complexity, cost, and governance gaps. Your transition needs a measurement instrument that survives the cull.
Gartner 2025 agentic-AI forecast →
A 45-minute technical walkthrough with one of our engineers, using your actual repository. We show you the scoreboard on your own data — your humans and your AI tools, measured against each other.
No slideware. No BANT. You get the engineer who built the metric.