Break a feature spec into intentional waves and bite-sized tasks grouped by dependency. Use after a spec is written to prepare for easy-to-track implementation.

Wave Based Task Breakdown Break the feature into sized, dependency ordered task waves. This makes it easier to keep track of progress as we build so we ensure that we're on track to build what the user expects: Process 1. Read the spec : Identify all behavioral requirements and technical changes from the agent plan or gjalla spec. 2. Identify tasks : Each task should touch 1 2 files and produce a small, reviewable diff that's verifiable. 3. Map dependencies : Which tasks must complete before others can start? 4. Group into waves : Tasks within a wave can be done in parallel; waves are sequential. Task Format Waves of work comprise groups of tasks: ID : W1 T1, W1 T2, W2 T1, etc. Description : One line summary of what changes. Files : Exact file paths that will be modified or created. Depends On : Task IDs this depends on (within same wave = none). Acceptance : How to verify this task is done. Principles Waves help you group tasks into logical/modular sections so you can put them in an intuitive order. For instance, data model changes might need to come first so the rest of the waves have the foundation they need to build on. The waves and tasks should have a place to mark once complete so that we can easily see our status as we implement. Make sure that docs, verification, tests, etc are included in your breakdown. To avoid overload, try to keep the total task count under 20 for a single spec; split larger features into multiple specs. Enter the implement loop Once the breakdown is written, keep it in the spec directory next to the design so a human (or a resumed session after compaction) can see exactly where implementation stands without re reading anything. Tick waves off in that file as they land, with the acceptance evidence next to each. When the final wave is verified, the change moves to review (see gjalla code review).

gjalla-breakdown