AI Task Estimation

Get AI-powered time estimates or implementation analysis for tasks using your linked codebase. When you connect GitHub or GitLab (same setup as the Coding Report), you can run Analyze or Estimate from a task on a project board; the AI uses your repository to return realistic dev time or an implementation approach.

What You Need

• A linked repository (GitHub or GitLab) for your team. This is the same connection used for the Coding Report & GitHub Statistics—connect once, use for both the report and task estimation.

Getting Started

1. Link a Repository

1. Go to Settings → Integrations.
2. In the Git section, connect GitHub or GitLab and authorize the repos you need.
3. Select which repositories to make available to your team (same as for the Coding Report).

2. Run from a Task

1. Open a project board and select a task (or create one with a name and description).
2. Use the task’s Analyze or Estimate action (e.g. from the task menu or detail view).
3. Choose the repository to use (if you have more than one).
4. Start the analysis. The AI examines the codebase and returns results.

3. What You Get

• Estimate — Suggested hours and a complexity rating (Low/Medium/High), plus a short explanation (e.g. existing patterns that make the task faster). You can apply the estimate to the task so it shows on the board.
• Analyze — Implementation approach: key files, components or functions, and considerations. Useful for planning or handoffs.

Tips

• Write clear task names and descriptions; the AI uses them to scope the analysis.
• Use Estimate for sprint planning and quoting; use Analyze when you need an implementation breakdown.
• The same linked repos power both the Coding Report and AI task estimation—no extra setup.

Related

• Coding Report & GitHub Statistics — Same Git connection; see time and commits in one report.
• Advanced Task Features — Task estimates, time tracking, and other task properties.