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More AI writing code. Your judgment in every delivery.

Give agents context, organize execution and bring useful findings to review. Releezy helps you lead the work of people and AI with your project’s criteria.

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From context to a code change
Isolate invoices by customer

Every query respects the authenticated tenant.

billing/invoices.ts
const tenant = session.tenant;const invoice = getInvoice(id);const invoice = getInvoice(
id, tenant.id
);return invoice;
Releezy ReviewerDevelopment team
The query needs a tenant filter.

Looking up by ID alone does not ensure isolation between customers.

The query now includes the criterion.

The authenticated tenant becomes part of the lookup.

The team evaluates the change

Make the code’s requirements explicit.

Give the agent project context, expected behavior and acceptance criteria.

Focus review on what matters.

Use specialized agents to find problems and bring findings into the review workflow.

Turn a finding into a concrete change.

Your team evaluates the change and the tests needed before proceeding with delivery.

Quality is built throughout the work.

From the instructions that guide an agent to the review of a change, every step is an opportunity to apply the team’s knowledge.

Releezy Loop

Delegate with context.

Run agents in isolated environments with project instructions. Follow runs and the agent’s return to address review feedback.

Explore Loop
Releezy Reviewer

Deepen the review.

Configure review agents for your project. Receive findings in the PR to assess with your team and guide the changes needed.

Explore Reviewer
Releezy Guardian

Learn from delivered code.

Observe code durability and review effectiveness. Use the data to discuss which team practices need to evolve.

Explore Guardian

What you learn in review can improve the next task.

Releezy Concierge helps interpret engineering signals and suggests next steps. You decide how to translate them into project context, criteria and practices.

Explore Concierge

  1. Prepare context before delegating.

    Explain the problem, project constraints and what makes a correct delivery. Agree on the scope with the people who know the area.

  2. Assess the finding in the code.

    Discuss the issue, its relevance and the tests that demonstrate expected behavior. Make review a technical decision.

  3. Carry the learning into the next task.

    Adjust instructions and criteria with the team. Follow subsequent work to understand whether the change in practice helped.

In day-to-day technical leadership.

Can I adapt review to my project?

Yes. Releezy Reviewer uses agents and instructions configured for the project context. Findings enter the review workflow for the team to assess.

Can the agent address review feedback?

Releezy Loop resumes the agent from the run to work on review feedback. You follow the work and assess changes within your project workflow.

How do I start with a focused scope?

Choose a repository and a type of task with clear criteria. Start with the module that addresses your priority and take that learning into the next stage.

Give AI the context your code requires.

Bring an execution or review challenge. Let’s show how Releezy fits your team’s work.

Let’s talk