Governed Docker containers.
Every Loop run executes inside a dedicated Docker container with network limits, file system limits, and no persistent state. Your code is isolated from the agent and from every other tenant.
Releezy Loop
The governed harness for the best AI coding tools.
Releezy Loop runs the best AI coding tools inside governed Docker containers — with spending limits, audit events, and review queues on every run. Every execution lands on the Guardian scoreboard alongside your humans.
Loop is not another AI agent builder. It is the governance layer your team needs to put AI coding tools into production without losing visibility, spend control, or the ability to roll back.
Schedule a demoWhy governance beats capability.
Most teams do not fail at AI because the tools are bad. They fail because nobody built the controls to run the tools safely.
Spending limits.
Hard caps on token spend per run, per project, per tenant. When the limit hits, the run stops. No surprises on the invoice.
Audit events.
Every agent action is an audit event in a structured log. When something goes wrong, you know exactly what happened and when.
Review queue.
No agent merges without review. Loop routes every output into a queue where humans decide. The queue has backpressure, so agents cannot flood your team.
The harness is the product.
On identical benchmarks, the same model performs dramatically differently depending on the scaffold around it. Loop is the scaffold.
42% → 95%
The same Claude Opus 4.5 scored 42% on a public benchmark (CORE-Bench) with one scaffold and 95% with another. The model is the commodity. The harness is the difference.
Anthropic engineering (Kapoor), SWE-Bench Claude Code (2026)
The capability curve is our friend.
Loop does not build AI coding tools. Loop orchestrates the best ones. When Claude 5, GPT-6, or the next frontier model ships, every Loop customer gets the upgrade automatically. You are long the capability curve, not short it.
Every run becomes context for the next.
Loop is not just a runner. Every execution feeds Guardian's measurement loop, and every Guardian signal flows back into the agent's context on the next run. Your project history, your review standards, your team's accumulated patterns — all of it shapes what the agent sees before it writes a single line. The loop closes on itself, and every run gets smarter than the last.
Put AI coding tools into production without losing control.
A 30-minute demo on your repository. Your agents will run under Loop in governed containers.
Schedule a demoReleezy Suite
Meet every product.
Releezy Guardian
The scoreboard.
Discover the truth about who writes and who reviews code on your team — human or AI. No guessing. No surprises on your next deploy.
Open GuardianReleezy Loop
The governed harness.
Picture your senior engineers back to architecture, while AI agents handle the repetitive work — under governance, audit, and spend control.
Open LoopReleezy Reviewer
The customized code reviewer.
A code reviewer that already knows your project rules — measured shoulder to shoulder with your humans from the first comment.
Open ReviewerReleezy Plan
The discovery agent.
First, the right problem. Then, the code. The discovery agent joins when the other three prove their worth with paying customers.
Open Plan