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Add continuous learning to roadmap

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Anton Osika
2023-06-21 19:56:03 +02:00
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ROADMAP.md
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- [ ] Create a step that asks “did it run/work/perfect” in the end [#240](https://github.com/AntonOsika/gpt-engineer/issues/240)
- [ ] Run the benchmark repeatedly and document the results for the different "step configs" (`STEPS` in `steps.py`) [#239](https://github.com/AntonOsika/gpt-engineer/issues/239)
- [ ] Document the best performing configs, and feed this into our roadmap
- [ ] Collect a dataset for gpt engineer to learn from, by storing code generation runs, and if they fail/succeed on an opt out basis
- [ ] Self healing code
- [ ] Feed the results of failing tests back into GPT4 and ask it to fix the code
- [ ] Let human give feedback