Delegate within clear boundaries.
Run coding agents in isolated environments, with project instructions, spending limits and visibility into each run.
Explore LoopChoose your perspective
Coordinate agents, context, spending limits and review. Use delivery evidence to decide where to expand adoption.
Give engineering a consistent way to execute with AI, review changes and assess the work delivered.
Run coding agents in isolated environments, with project instructions, spending limits and visibility into each run.
Explore LoopReview PRs with multiple agents and project-specific criteria. Bring findings into the review conversation your team already follows.
Explore ReviewerTrack code durability and review effectiveness across people and agents. Use that evidence to guide your next decision.
Explore GuardianChoose an area of work, decide what to observe and carry the learning forward. Releezy Concierge helps turn evidence into recommendations; your team decides what to adopt.
Explore ConciergeChoose the project, tasks and owners. Agree on context, spending limits and review criteria before execution.
Observe runs, review findings and code changes. Discuss with your team where AI helps and where it needs adjustment.
Use delivery quality and the team’s experience to expand scope, adjust instructions or continue the pilot.
Start with the module that addresses your priority: agent orchestration, code review or engineering visibility. Expand adoption as your team’s needs evolve.
Releezy works with different Git hosts and task management tools. Build on your team’s workflow with greater visibility and control over development and AI adoption.
Your leadership and project owners. Releezy Concierge suggests actions based on evidence and context; your team sets priorities, approves changes and follows the results.
See how to coordinate execution and track quality in the context of your engineering team.