Question 1

How does Daxtack analyze CI/CD failures?

Accepted Answer

Daxtack captures your build output — logs, errors, and stack traces — from your existing CI tools. The on-premise agent sanitizes logs locally, removes secrets and PII, then sends only the relevant failure context to our AI layer. The result is a root-cause summary and suggested fix your team can review.

Question 2

Does Daxtack work with Jenkins?

Accepted Answer

Yes. Daxtack fully supports Jenkins via the Enterprise Agent. The agent runs inside your network, captures Jenkins build logs, sanitizes them on-prem, and delivers AI-generated fix suggestions without any code changes to your Jenkins setup.

Question 3

Is my source code safe with Daxtack?

Accepted Answer

Your source code stays inside your network. The Daxtack agent runs on-premise, strips secrets and PII locally, and sends only sanitized failure context for analysis. Zero inbound ports are required.

Question 4

What CI/CD platforms does Daxtack support?

Accepted Answer

Daxtack supports GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, Bamboo, TeamCity, Travis CI, and any CI/CD platform with webhook support.

Question 5

Does Daxtack have a free plan?

Accepted Answer

Yes. The free plan includes 30 analyses per month, support for all CI platforms, basic error detection, and shareable results. No credit card required to start.

Question 6

How is Daxtack different from asking ChatGPT about build errors?

Accepted Answer

Daxtack is purpose-built for CI/CD failures. Unlike copy-pasting logs into a generic AI chat, Daxtack automatically captures build context, sanitizes secrets first, applies multi-model analysis, and returns a ranked diagnosis and suggested fix in a workflow your team can review.

Question 7

What is the Daxtack Enterprise Agent?

Accepted Answer

The Daxtack Enterprise Agent is a Docker-based on-premise component that runs inside your network. It integrates with legacy CI systems like Jenkins and Bamboo, sanitizes logs locally before any data leaves, and requires zero inbound ports. It is designed for teams that need private deployment and stricter security controls.

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