Capturing Ideas Fast
Quickly capture task ideas without breaking your flow
This section describes common usage patterns that combine the CLI tools and code agent skills into end-to-end development workflows.
The full task lifecycle — capturing ideas quickly, wrapping ad-hoc work into tracked tasks, decomposing large items into children, and consolidating overlap.
Running multiple tasks side by side, front-loading planning work, and farming out execution to remote web sandboxes.
--project flag.Keeping the codebase correct and understandable — structured code review, test coverage analysis, and tracing why existing code exists.
Round-tripping with issue trackers, pull requests, upstream contributions, releases, and reverts — the flows that cross aitasks’ boundary with the wider git ecosystem.
Next: Code Agent Skills
Quickly capture task ideas without breaking your flow
Wrap ad-hoc changes into the aitasks framework after the fact
Breaking complex tasks into manageable child subtasks
Merging overlapping or duplicate tasks into a single actionable task
Round-trip workflow between issue trackers (GitHub, GitLab, Bitbucket) and aitasks
End-to-end guide for creating aitasks from pull requests
End-to-end guide for sharing changes and managing incoming contributions with aitasks
Working on multiple tasks simultaneously with concurrency safety
Resume a task whose prior agent died mid-implementation, with a survey of leftover work before deciding to reclaim or drop
Front-load complex task design work while other implementations run in parallel
Coordinate work across linked projects with the project registry, ait projects, and cross-repo task creation
Block, read, update, and plan tasks across linked aitasks projects with cross-repo dependencies and the –project flag
Running tasks on Claude Code Web with sandboxed branch access
Creating follow-up tasks, querying existing tasks, and updating them with new findings — all during implementation
Browse source files, select a line range, and spawn a task pre-seeded with a file reference — with optional auto-merge of overlapping pending tasks.
Systematic code review using review guides, separate from implementation
Start with codebase exploration, create tasks from findings
Systematic test coverage analysis and follow-up task creation
Automatic prompt to spawn a follow-up bug task when diagnosis surfaces a separate, pre-existing defect
Opt-in planning step that assesses code-health and goal-achievement risk, then offers before/after mitigation follow-ups
Human-checked verification items (TUI flows, live agent launches, artifact inspection) as first-class gated tasks
Automated changelog generation and release pipeline from task data
Use code evolution history to rebuild understanding of why code exists
Periodic upkeep for a repository integrated with the aitasks framework
Reverting features or changes that are no longer needed