Codoki FAQs

Codoki ensures fix reliability by providing well-documented pull request descriptions that explain every fix, following best practices for clean, secure code, and ensuring all changes go through a human review process before merging. (more)

Codoki isn’t just another AI assistant. It is a practical tool for engineering teams. Users report faster bug resolution, reduced pull request cycle times, and less engineering burnout by automating repetitive debugging tasks. (more)

Codoki reduces debugging time, automates tedious code reviews, and ensures best practices. By generating pull requests with suggested fixes, it helps developers focus on high-value tasks instead of spending hours debugging and refactoring. Codoki integrates with Jira, automatically detects relevant issues, gathers debugging logs from tools like BugSnag, Datadog, and Sentry, and generates fixes that engineers can review and merge. (more)

No. Codoki does not directly edit your codebase. Instead, it creates a pull request with suggested fixes so your team can review, approve, or modify before merging. (more)

Codoki does not auto-merge or inject code into your repository. It follows the same pull request review process your team already uses. You remain in full control of all changes. Developers can review, edit, and modify every pull request before merging. (more)

Codoki is built for engineering teams that want to accelerate bug fixing, improve code quality, and reduce repetitive debugging work. Unlike generic AI chatbots, Codoki integrates into existing workflows, listens for tagged issues in Jira, gathers relevant context (logs, error reports, etc.), and generates a pull request with a detailed fix explanation. This means teams spend less time debugging and more time shipping quality code. (more)

Codoki isn’t just an AI code assistant. It is an AI-powered teammate that understands your development workflow. Unlike Copilot and ChatGPT, which generate code snippets based on prompts, Codoki works within Jira workflows, analyzes issues with real-time context (logs, errors, and traces), and generates structured pull requests. It doesn't just autocomplete code, it solves real-world coding problems. (more)