GoKawiilOrdewell launches to convert single goals into editable multi-agent coding task plans
A new tool called Ordewell breaks down a single stated goal into an ordered sequence of coding-agent tasks, each assigned its own runner, model, thinking effort and execution mode. Users can edit the plan before execution—reordering, adding, removing or rewiring dependencies—without losing finished work or restarting the AI conversation. Task completion is verified by checking for a unique marker in the runner's output rather than trusting the model's self-reported success.
GoKawiil's interpretation of the reporting above, not reported fact.
Most AI coding agents hide their planning inside opaque internal state, making it hard to intervene mid-process or trust that a task is truly finished. By exposing the plan as an editable, typed structure and requiring evidence-based completion checks, Ordewell targets a real pain point in agentic coding workflows: reliability and control. This approach could influence how future dev tools separate planning from execution to reduce wasted tokens and false completions.
- Ordewell turns one goal into an editable, structured plan of coding tasks rather than an opaque agent process.
- Each task gets a tailored runner, model and mode, chosen upfront in a visible 'portfolio' decision.
- Task completion is verified via explicit markers in output, not model opinion, reducing false positives.
Source: github.com, 2026-09-15
Published there as: “Show HN: Ordewell – turn one goal into an ordered plan of coding-agent tasks”
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