Hook

Their other posts in the index, biggest breakout first.
Fable 5 dynamic workflow for hard coding tasks. Phase one is parallel Sonnet 5 explore agents. Use one for each domain of the implementation that you want to make. Or each unique angle that you want to tackle it from. Pair this with Grivify for a large codebase. Synthesize those findings and send them to a Fable 5 medium subagent working on its own worktree. These can work in parallel or sequentially depending on if there are dependencies between worktrees. After the implementation phase, you can either choose to merge those worktrees together or review them separately. So you'll spawn N Opus 4.8 high subagents to review each worktree. In your dynamic workflow create a loop between the review and implementation phases so that any errors found in the review phase get sent back to the implementation phase for as many loops as you want until your stop condition. For hard coding tasks, this is a great way to optimize your token consumption by delegating different model phases to different phases of your automated coding workflow.