CodewardShip AI code without the technical debt
Codeward is an autonomous AI code review platform for engineering teams that runs specialized review agents automatically on every pull request.
Watch Codeward turn your pull request into a zero-debt reality.
Every agent owns a specific issue. Each agent picks up one issue and works it end to end, so nothing slips through the cracks and every fix has a clear owner.
Learn moreRuns your code, fixes bugs, leaves real comments. Codeward executes your code, finds the bugs, applies the fixes, and leaves meaningful comments so reviewers understand exactly what changed and why.
Learn moreOpens issues you genuinely care about. It surfaces the problems worth your attention and opens real issues instead of burying you in noise.
Learn moreEvery issue sorted by severity. Findings are categorised as high, medium, or low, so you always know what to fix first and where the real risk sits.
Learn moreEnterprise-grade security and privacy
Ephemeral MicroVMs
Every commit executes inside an isolated Firecracker sandbox destroyed immediately after run. Zero code persistence, zero LLM training.
18 Security Hard-Gates
Automated OWASP ZAP penetration tests, TruffleHog v3 secret scans, CVE advisory audits, and database RLS policy validation on every PR.
Private VPC & Self-Hosting
Complete data sovereignty: run 100% open-source via Docker, deploy inside your private VPC, or use our zero-egress cloud infrastructure.
Frequently Asked Questions
No. While tools like CodeRabbit focus heavily on PR summaries and superficial code review comments, Codeward is an active participant in your codebase. We don't just leave commentsâ€â€our autonomous agents actively write the code, generate the fixes, and manage your technical debt directly.
Codeward connects directly to your GitHub, GitLab, or Bitbucket repositories. It listens for pull requests and branch updates, running its analysis and patching autonomously without disrupting your existing pipelines.
Absolutely. We run all analysis in isolated, ephemeral sandboxes. Your code is never used to train public models, and our infrastructure is SOC2 compliant, ensuring military-grade security for your intellectual property.
Yes! Our Self-healing Patches feature doesn't just point out errors; it generates ready-to-merge pull requests with verified fixes for vulnerabilities, test failures, and legacy technical debt.
We support all major languages including TypeScript/JavaScript, Python, Go, Rust, Java, C++, and more. Our AI agents are context-aware and adapt to your specific framework and internal coding guidelines.
Unlike static analysis tools that simply flag hundreds of issues and add to your backlog, Codeward actively refactors your codebase and writes the fixes for you. It's an active participant, not just a passive scanner.
Codeward deploys specialized sub-agentsâ€â€like an Architecture Agent, a Testing Agent, and a Security Agentâ€â€that collaborate. They review the codebase simultaneously, discuss optimal solutions in the background, and then execute complex, multi-file refactors that a single model couldn't handle.
During the first run, Codeward performs a deep 'Knowledge Indexing'. It maps out your entire architecture, learns your team's coding conventions, and creates an initial baseline report of your technical debt and testing gaps. It may take slightly longer, but it's essential for contextual awareness.
Yes, drastically. Once the initial index is built, subsequent runs only analyze the delta (the new commits or pull requests). The agents use the cached knowledge graph to instantly understand how new changes affect the broader system, allowing for lightning-fast PR reviews and fixes.
No. Codeward utilizes your existing test suite to verify its own changes. If coverage is lacking, our Test Agent can even write new unit and integration tests to ensure the fixes are robust.
Still Curious?
The fastest way to understand Codeward is to watch it audit your own codebase. Connect it and see what it finds.