Cloud Agents

Your AI engineering team, on every commit.

Cloud Agents connect to your GitHub repositories and work autonomously — reviewing pull requests, writing code, running custom workflows, and shipping fixes with configurable approval gates. No infrastructure to manage. No context switching.

Free tier availableNo credit card requiredProduction-grade approval gates

One platform, four agent types

Choose the mode that fits your workflow. Mix and match across repositories. Upgrade or switch types any time.

First-pass review on every pull request, before a human opens the diff.

Review agents activate on PR open signals and inspect changes against your repository rules, coding standards, security policies, and path-level ownership. They post structured findings with line-level context and flag blocking issues — reducing idle time before a human reviewer steps in.

  • Automated first-pass on every PR open
  • Protected path and security pattern checks
  • Repository-scoped rules and branch policies
  • Reduces time-to-first-review across the backlog
Review Run
🔍 Review run started — PR #241 feat/user-auth Fetching diff and repository rules…⚠ src/auth/token.ts:34 — token stored in localStorage Prefer httpOnly cookies to prevent XSS token theft.⚠ src/api/users.ts:19 — missing rate-limit middleware✓ No secrets detected in diff✓ Protected paths: no unauthorized writes📋 2 blocking · 3 suggestions — awaiting human review

A rollout pattern that actually works

Most teams get better results when they introduce Cloud Agents in stages. Start narrow, build trust through run history, then expand.

01

Start with one repository

Pick a repository with clear ownership and a stable pull-request workflow. Do not start by enabling everything at once.

Pro tip: Choose a non-critical repo first — somewhere you can observe runs without pressure.

Everything teams need to trust AI in production

Guardrails, observability, and flexibility built in — not bolted on.

50+ AI Models

Plug in GPT-4o, Claude 3.5, Gemini 2.0, Mistral, DeepSeek, and every major foundation model. Switch models per agent, per run.

Approval Gates

No code lands without a human decision. Configure blocking approval workflows with timeout policies and reviewer routing.

MCP Tool Access

Connect agents to any Model Context Protocol server — your internal APIs, databases, Slack, Jira, Linear, and beyond.

Full Audit Trail

Every run is logged end-to-end: model inputs, outputs, tool calls, diffs, and reviewer decisions. Search and replay anytime.

Scheduled Runs

Cron-trigger agents for nightly dependency audits, weekly changelog drafts, daily security scans, or any recurring task.

Custom Instructions

Author AGENTS.md rules in your repository. Agents read and follow them automatically — no configuration UI needed.

Cloud Agents transformed how our team handles code review and development velocity. What used to take us two to three days of back-and-forth on PRs now resolves in hours — the review agent catches issues before a human even opens the diff. We've compressed our review cycle by more than half and our engineers actually enjoy code review again because the tedious first-pass is already done.

Joe F.Co-founder & CTO, Crosify — AI startup
Start today

Deploy your first agent in under five minutes

Connect a repository, pick a model, write your rules in plain language. No infrastructure, no DevOps, no waiting.