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chore(release): 2.17.0 [skip ci]
# [2.17.0](v2.16.0...v2.17.0) (2025-12-10) ### Features * enhance assessors with multi-language support and security ([#200](#200)) ([85712f2](85712f2)), closes [#10](#10) * Harbor framework integration for Terminal-Bench evaluations ([#202](#202)) ([d73a8c8](d73a8c8)), closes [#4](#4) [#178](#178) [#178](#178)
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CHANGELOG.md

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# [2.17.0](https://github.com/ambient-code/agentready/compare/v2.16.0...v2.17.0) (2025-12-10)
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### Features
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* enhance assessors with multi-language support and security ([#200](https://github.com/ambient-code/agentready/issues/200)) ([85712f2](https://github.com/ambient-code/agentready/commit/85712f242b10bfb6c195cddaca9ca7e57d453df8)), closes [#10](https://github.com/ambient-code/agentready/issues/10)
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* Harbor framework integration for Terminal-Bench evaluations ([#202](https://github.com/ambient-code/agentready/issues/202)) ([d73a8c8](https://github.com/ambient-code/agentready/commit/d73a8c851a72ae9185dd2c5d50c682c1f5e1ac06)), closes [#4](https://github.com/ambient-code/agentready/issues/4) [#178](https://github.com/ambient-code/agentready/issues/178) [#178](https://github.com/ambient-code/agentready/issues/178)
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# [2.16.0](https://github.com/ambient-code/agentready/compare/v2.15.0...v2.16.0) (2025-12-10)
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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**: v2.16.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.17.0 - 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**: 2025-12-10 by Jeremy Eder
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**AgentReady Version**: 2.16.0
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**AgentReady Version**: 2.17.0
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**Self-Assessment**: 80.0/100 (Gold) ✨
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## Active Technologies

pyproject.toml

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[project]
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name = "agentready"
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version = "2.16.0"
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version = "2.17.0"
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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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