[Epic]: Autonomy Foundations: Multi-Agent, Simulation, Checkpoints & Budgets (v1.0.0)
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- Dominant language
- Python
- Stars
- 1
- Forks
- 0
- Avg merge
- 8m
- Merged PRs (30d)
- 3
Description
Thematic sub-Epic under v1.0.0 Roadmap #654.
Foundational autonomy capabilities that power safe, high-autonomy operation and the endless feed experience.
Scope (initial)
- Multi-agent orchestration + delegation (#644)
- Simulation, dry-run, shadow mode (#645)
- Consistent checkpoint/approval primitive (#648)
- User-configurable budgets and observability (#634, #653)
- Full autonomous loops (e.g. bug resolution #638 with detailed stories; feature #639 with detailed stories + design validation + media)
- Scheduled release cut/finalize/implement + marketing (#641 with stories)
- Related: Epic #470 Autonomy Engine, cost control, risk tolerance in .plate
Acceptance (to be refined)
- Agents can delegate and coordinate with provenance
- Shadow runs surface rich previews for feed checkpoints
- Unified approval mechanism works across surfaces
- Budgets enforced and visible in feed
- End-to-end autonomous bug/feature resolution with human checkpoints where required, including media and design validation
- Scheduled release and marketing ops with feed visibility
Roadmap: #654
Vision pointer: #627
Status: Stub.
Children assigned: #644, #645, #648, #634, #653, #638, #639, #641
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with roadmap #654 and vision #627, then read the child issues #644, #645, #648, #634, #653, #638, #639, and #641 to understand the proposed autonomy work. The issue is marked as a stub, so completion requires refining the scope and acceptance criteria for delegation, simulation, checkpoints, budgets, autonomous resolution, and scheduled release operations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100