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@bholmesdev
Last active August 9, 2026 09:18
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Delegation strategy for coding tasks

Delegation strategy for coding tasks

Delegate substantive coding tasks when a focused agent can investigate, implement, or review with clear context. Do not delegate trivial edits or merely expedient work.

Rankings, higher = better. Cost reflects what I actually pay (OpenAI has really generous limits), not list price. Intelligence is how hard a problem you can hand the model unsupervised. Taste covers UI/UX, code quality, API design, and copy.

model cost intelligence taste
gpt-5.6 9 8 5
sonnet-5 5 5 7
opus-4.8 4 7 8
fable-5 2 9 9

How to apply

  • Cost is a tie-breaker only; when axes conflict for anything that ships, intelligence > taste > cost.
  • Bulk/mechanical work (clear-spec implementation, data analysis, migrations): gpt-5.6 - it's effectively free.
  • Anything user-facing (UI, copy, API design) needs taste ≥ 7.
  • Reviews of plans/implementations: fable-5 or opus-4.8, optionally gpt-5.6 as an extra independent perspective.
  • Claude models (sonnet-5, opus-4.8, fable-5) run via the Agent/Workflow model parameter.

Mechanics

gpt-5.6 is only reachable through Codex. My ~/.codex/config.toml defaults to gpt-5.6.

Use codex:rescue for implementation or debugging help. Use codex:review for reviews. For work they don't cover (investigation, data analysis), run:

codex exec -s workspace-write

Using gpt-5.6 inside workflows and subagents

The model parameter only takes Claude models, so use a wrapper:

model: sonnet
effort: low

Prompt the thin Claude wrapper agent to write a self-contained Codex prompt, run codex exec via Bash, and return the result.

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