We Clean Up Sloppy AI Code

No.

Regardless of if you're on a free or paid tier, we do not train or fine-tune using our user's code. To learn more, see our Terms.

The best way to get started is to get signed up and go through our onboarding steps. That should get you everything you need; we pride ourselves on integrations with version control systems, IDEs, our CLI tool, git hook integrations, and more. But not everybody needs everything, and that's what the onboarding process will nail down.

Zenable has been built from the ground-up with modern software development and security practices. We employ a series of security controls to ensure your data is safe; for more details see our Security page or you can reach out with any specific questions.

First, we recommend setting up a free (no credit card required) trial of our Pro tier. That'll get you access to all of our integration points to kick the tires. From there, if you find what we have interesting you can look at rolling it out for your team via our Pro or Enterprise tiers. If you'd like to just keep using it individually, you're welcome to continue via our Free tier which includes daily usage of PR code review, IDE integrations, our CLI, and more - 100% free.

To get more details about how those tiers differ, see our comparison table or Plans & Usage pages.

Each plan has limits on Pull Request reviews and Agentic Code Reviews. PR review limits are per account, while Agentic Code Review limits are per seat. Agentic Code Reviews are AI-powered reviews via the CLI, MCP server, or API.

Free accounts get 25 PR reviews/day and 100 agentic reviews/day. Professional plans include 200 PR reviews/day and 1,000 agentic reviews/day. Enterprise plans offer negotiable PR limits and 10,000 agentic reviews/day. We reserve the right to limit abuse in line with our Terms and Conditions. See the comparison table or Plans & Usage for full details.

This question used to be titled "Are you really using AI or is it just a buzzword?" - but we think we're past that now.

Zenable's approach is that using AI to review and improve software is extremely useful, but it's only a part of the solution. Deterministic guardrails are critical to give 100% certainty of findings and outputs given the same input, as well as strong audit evidence and logs to support high assurance environments.

We also believe that Observability - the ability to measure, monitor, and evaluate systems based on telemetry - is necessary in order to know that you're focusing on the right problems to solve. The speed of AI brings a lot more uncertainty with where you should be spending your time, and so we centralize and report on tons of information that we use to customize every part of the Zenable stack to your environment, as well as to allow you to oversee how coding agents are being used to guide decision making.