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Agentic AI Atlas · Metaswarm
methodology:metaswarma5c.ai
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methodology:metaswarm

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Metaswarm overview

Autonomous multi-agent orchestration managing the complete lifecycle from GitHub issue to merged pull request. Coordinates 12 specialized agents through a 7-phase workflow with quality gates as blocking state transitions, adversarial reviews with fresh reviewers (preventing anchoring bias), mandatory TDD with 100% coverage targets, human checkpoints at critical boundaries, and knowledge persistence across sessions.

MethodologyOutgoing · 1Incoming · 6

Attributes

displayName
Metaswarm
description
Autonomous multi-agent orchestration managing the complete lifecycle from GitHub issue to merged pull request. Coordinates 12 specialized agents through a 7-phase workflow with quality gates as blocking state transitions, adversarial reviews with fresh reviewers (preventing anchoring bias), mandatory TDD with 100% coverage targets, human checkpoints at critical boundaries, and knowledge persistence across sessions.
methodologyKind
research
origin
David Sifry

Outgoing edges

applies_to1
  • domain:software-engineering·DomainSoftware Engineering

Incoming edges

follows_methodology6
  • lib-process:shared--metaswarm-design-review·LibraryProcessmethodologies/metaswarm/metaswarm-design-review
  • lib-process:shared--metaswarm-execution-loop·LibraryProcessmethodologies/metaswarm/metaswarm-execution-loop
  • lib-process:shared--metaswarm-knowledge-cycle·LibraryProcessmethodologies/metaswarm/metaswarm-knowledge-cycle
  • lib-process:shared--metaswarm-orchestrator·LibraryProcessmethodologies/metaswarm/metaswarm-orchestrator
  • lib-process:shared--metaswarm-pr-shepherd·LibraryProcessmethodologies/metaswarm/metaswarm-pr-shepherd
  • lib-process:shared--metaswarm-swarm-coordinator·LibraryProcessmethodologies/metaswarm/metaswarm-swarm-coordinator

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