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Merge pull request #1132 from trek-e/feat/1m-context-awareness-1086

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Tom Boucher
2026-03-18 18:08:19 -04:00
committed by GitHub
parent d77956f6bd 0377951a04
commit 73d6ec06cc
3 changed files with 13 additions and 3 deletions
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13
get-shit-done/workflows/execute-phase.md
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@@ -191,8 +191,9 @@ Execute each wave in sequence. Within a wave: parallel if `PARALLELIZATION=true`
2. **Spawn executor agents:**
Pass paths only — executors read files themselves with their fresh 200k context.
This keeps orchestrator context lean (~10-15%).
Pass paths only — executors read files themselves with their fresh context window.
For 200k models, this keeps orchestrator context lean (~10-15%).
For 1M+ models (Opus 4.6, Sonnet 4.6), richer context can be passed directly.
```
Task(
@@ -652,7 +653,13 @@ Only suggest the commands listed above. Do not invent or hallucinate command nam
</process>
<context_efficiency>
Orchestrator: ~10-15% context. Subagents: fresh 200k each. No polling (Task blocks). No context bleed.
Orchestrator: ~10-15% context for 200k windows, can use more for 1M+ windows.
Subagents: fresh context each (200k-1M depending on model). No polling (Task blocks). No context bleed.
For 1M+ context models, consider:
- Passing richer context (code snippets, dependency outputs) directly to executors instead of just file paths
- Running small phases (≤3 plans, no dependencies) inline without subagent spawning overhead
- Relaxing /clear recommendations — context rot onset is much further out with 5x window
</context_efficiency>
<failure_handling>