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chore(release): 2.20.2 [skip ci]
## [2.20.2](v2.20.1...v2.20.2) (2025-12-12) ### Bug Fixes * update --version flag to show correct version and research report date ([#221](#221)) ([5a85abb](5a85abb))
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CHANGELOG.md

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## [2.20.2](https://github.com/ambient-code/agentready/compare/v2.20.1...v2.20.2) (2025-12-12)
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### Bug Fixes
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* update --version flag to show correct version and research report date ([#221](https://github.com/ambient-code/agentready/issues/221)) ([5a85abb](https://github.com/ambient-code/agentready/commit/5a85abbb7ae2f9acbce6ae673672ca9851926297))
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## [2.20.1](https://github.com/ambient-code/agentready/compare/v2.20.0...v2.20.1) (2025-12-12)
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CLAUDE.md

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AgentReady is a Python CLI tool that evaluates repositories against a comprehensive set of 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**: v2.20.1 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.20.2 - Core assessment engine complete, most essential assessors implemented, 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**: 2025-12-12 by Jeremy Eder
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**AgentReady Version**: 2.20.1
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**AgentReady Version**: 2.20.2
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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 = "2.20.1"
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version = "2.20.2"
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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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