Project-VIC-International/Agentic-AI-Development-Course
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Karpathy-style auto-research for autonomous, experiment-driven improvement of the tool.
A course given by Project VIC International to law enforcement to show them the power of Agentic AI development so they can build their own tools, modify existing tools, and build on open standards for interoperability.
This repository also configures its own agents. See what Agentic-AI-Development-Course tells them →
Project-VIC-International/Agentic-AI-Development-Course
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Karpathy-style auto-research for autonomous, experiment-driven improvement of the tool.
Project-VIC-International/Agentic-AI-Development-Course
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Cross-platform compatibility — code must run on Windows, Linux, and macOS.
Project-VIC-International/Agentic-AI-Development-Course
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Every change must be reviewed for impact across all four surfaces — GUI, CLI, API, MCP.
Project-VIC-International/Agentic-AI-Development-Course
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No stubs — every function, command, endpoint, and tool must perform real work.
Project-VIC-International/Agentic-AI-Development-Course
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CASE / UCO / CAC (and optional SOLVE-IT) ontology alignment — all data must serialize as valid, semantically precise JSON-LD.
Project-VIC-International/Agentic-AI-Development-Course
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CHANGELOG.md and README.md update requirements for every release of the tool.
Project-VIC-International/Agentic-AI-Development-Course
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Jurisdiction-aware security controls (NIST SP 800-53 Rev. 5 baseline plus your country's framework, such as FBI CJIS, Australian ISM, or NZISM) for all code touching auth, crypto, evidence, logging, or network.
Project-VIC-International/Agentic-AI-Development-Course
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Mandatory spec-driven development pipeline for every feature in a CAC mission tool.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: