← Accueil

📚 Supplementary Readings and Follow-Up Resources

Author: Olivier Vitrac, PhD, HDR — olivier.vitrac@adservio.fr
Affiliation: Adservio Innovation Lab · Applied Artificial Intelligence & Engineering Sciences
Purpose: Background and follow-up materials for the lecture series
License: CC BY-NC-SA 4.0 International


🧭 Structure of this Reading Map

ThemeFocus
1 — Agents & Model Context Protocol (MCP)Understanding agent frameworks and Claude Code’s MCP
2 — Claude Code Guides & ExamplesOfficial manuals, quickstarts, and tool examples
3 — Code Auditing & Software QualityFrom introductory linting to advanced audits
4 — Ethics · Regulations · GovernanceAI governance and responsible engineering
5 — Research & Academic FrontiersSeminal papers and benchmark groups
6 — Language-Specific Audit ToolchainsPractical stacks for Python / JS
7 — Suggested ProgressionWhen to read what

1️⃣ Agents & Model Context Protocol (MCP)


2️⃣ Claude Code Guides & Examples


3️⃣ Code Auditing & Software Quality

Foundations & Standards

Tools & Practical Playbooks


4️⃣ Ethics · Regulations · Governance

Use these documents to align agentic development and auditing with current AI governance frameworks.


5️⃣ Research & Academic Frontiers


6️⃣ Language-Specific Audit Toolchains

Python Stack

JavaScript / TypeScript Stack


7️⃣ Suggested Progression

StageWhen to ReadFocus
Before Lecture 1MCP intro · Claude overviewUnderstand agent architecture
Before Lecture 2OWASP · CWE · NIST SP 800-218Build vocabulary for auditing
After Lecture 2SWE-bench / SWE-agent papersExplore cutting-edge agentic research
OngoingISO 42001 · AI Act · OECD PrinciplesIntegrate governance and ethics

🧩 Citation Guidelines

When reusing these materials in academic or industrial contexts, please cite as:

Vitrac, O. (2025). AI Agents and Code Auditing Lecture Series.
Adservio Innovation Lab — https://adservio.fr
Licensed under CC BY-NC-SA 4.0 International.


Version 1.0 — November 2025
Maintained by Adservio Innovation Lab · Generative Simulation Initiative