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chore(release): 2.8.1 [skip ci]
## [2.8.1](v2.8.0...v2.8.1) (2025-11-25) ### Bug Fixes * add uv.lock to recognized lockfiles ([#143](#143)) ([a98dc87](a98dc87)), closes [#137](#137)
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CHANGELOG.md

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## [2.8.1](https://github.com/ambient-code/agentready/compare/v2.8.0...v2.8.1) (2025-11-25)
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### Bug Fixes
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* add uv.lock to recognized lockfiles ([#143](https://github.com/ambient-code/agentready/issues/143)) ([a98dc87](https://github.com/ambient-code/agentready/commit/a98dc872f58e172ae7ec45f14d9dd13ea49869fe)), closes [#137](https://github.com/ambient-code/agentready/issues/137)
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# [2.8.0](https://github.com/ambient-code/agentready/compare/v2.7.1...v2.8.0) (2025-11-25)
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CLAUDE.md

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AgentReady is a Python CLI tool that evaluates repositories against 25 carefully researched attributes that make codebases more effective for AI-assisted development. It generates interactive HTML reports, version-control friendly Markdown reports, and machine-readable JSON output.
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**Current Status**: v2.8.0 - Core assessment engine complete, 22/31 attributes implemented (9 stubs), LLM-powered learning, research report management
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**Current Status**: v2.8.1 - Core assessment engine complete, 22/31 attributes implemented (9 stubs), LLM-powered learning, research report management
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**Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
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**Last Updated**: 2025-11-25 by Jeremy Eder
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**AgentReady Version**: 2.8.0
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**AgentReady Version**: 2.8.1
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**Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

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[project]
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name = "agentready"
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version = "2.8.0"
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version = "2.8.1"
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description = "Assess and bootstrap git repositories for AI-assisted development with automated remediation and continuous learning"
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authors = [{name = "Jeremy Eder", email = "jeder@redhat.com"}]
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readme = "README.md"

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