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chore(release): 2.4.0 [skip ci]
# [2.4.0](v2.3.0...v2.4.0) (2025-11-24) ### Features * Phase 2 Task 4 - Replace manual config validation with Pydantic ([#134](#134)) ([d83cf58](d83cf58))
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CHANGELOG.md

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# [2.4.0](https://github.com/ambient-code/agentready/compare/v2.3.0...v2.4.0) (2025-11-24)
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### Features
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* Phase 2 Task 4 - Replace manual config validation with Pydantic ([#134](https://github.com/ambient-code/agentready/issues/134)) ([d83cf58](https://github.com/ambient-code/agentready/commit/d83cf58a6eb0b1f889a3cfc49a8fb816db2a1f3e))
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# [2.3.0](https://github.com/ambient-code/agentready/compare/v2.2.0...v2.3.0) (2025-11-24)
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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**: v2.3.0 - Core assessment engine complete, 22/31 attributes implemented (9 stubs), LLM-powered learning, research report management
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**Current Status**: v2.4.0 - 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**: 2025-11-24 by Jeremy Eder
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**AgentReady Version**: 2.3.0
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**AgentReady Version**: 2.4.0
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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 = "2.3.0"
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version = "2.4.0"
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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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