Codex : le guide complet pour débutants (GPT-6 Astra)

Codex : le guide complet pour débutants (GPT-6 Astra)

Codex: The Complete Beginner's Guide (GPT-6 Astra)

by Shubham SHARMA · View the channel on PSI

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Shubham SHARMA 👥 317K 📅 September 17, 2026 ⏱ 53 min 👁 275 📄 tutorial 🧭 2026-09-17
Available in: English (current) Français

Keywords

CodexOpenAIAI codingbeginner guidetutorial

Summary

This 53-minute tutorial by Shubham Sharma offers a complete beginner guide to OpenAI’s Codex, an AI agent that writes code. The video starts with a clear explanation of the difference between ChatGPT and Codex, emphasizing that Codex works locally on your computer. The interface walkthrough shows how to create a project, select models, and manage approvals. The first project involves building a personal website by scraping existing content and deploying it with ChatGPT Sites. The second project, a quote generator with e-signature and email follow-ups, demonstrates the ‘plan mode’ and iterative development. The creator also shares tips on token management to avoid burning credits and distinguishes between reflection and construction conversations. Later, he showcases Codex taking control of the browser to test forms and even edits videos in Final Cut. Throughout, he highlights practical workflows, common pitfalls, and the power of AI agents for non-coders. The tutorial is structured, engaging, and packed with actionable examples, though it assumes no prior coding knowledge, making it ideal for absolute beginners.

168 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides substantial practical value for beginners by walking through real projects step-by-step, from installation to deployment. The argumentation is grounded in live demonstrations, which strengthens its credibility. The creator justifies each recommendation with concrete outcomes, such as the benefits of using ‘plan mode’ for complex tasks and the cost-saving strategies for token usage. However, the presentation is anecdotal rather than scientifically rigorous, relying on personal experience and observed behaviors. The lack of comparative analysis or external benchmarks weakens the scientific depth, but for a tutorial format, the argumentation is coherent and persuasive.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is moderate: the creator cites no external academic sources, but he references official tools and his own experience consistently. The sources mentioned in the description are his own website, newsletter, and social media, which do not add external validation. The title accurately reflects the content, focusing on a beginner-level complete guide. The video includes subtle promotional elements for its own resources, but these are clearly integrated as value additions rather than disguises. Overall, the content is practical and trustworthy for its scope, though users should verify with official documentation for precise details.

204 words

Title / Content Match

Titre aligns well with content: a complete beginner guide covering interface, projects, and advanced features.

Quality & Reliability

6/10

Practical and clear tutorial based on hands-on experience; however, the channel is small and not an official source, with limited peer validation.

Chapters

Cited Sources

Contribution & Novelties

This tutorial stands out by offering a step-by-step, project-based introduction to Codex without assuming any coding background. It demystifies the agentic AI workflow, showing how to move from idea to deployed application. The originality lies in its practical tips, such as the ‘plan mode’ for complex projects and the distinction between reflection and construction conversations. It also highlights lesser-known features like ChatGPT Sites and browser control, empowering non-developers to automate tasks.

Pour aller plus loin :

  • Vibe coding — A concept describing coding via natural language, directly relevant to Codex usage.
  • Intelligent agent — Foundation of AI agents, useful for understanding Codex’s underlying technology.
  • Prompt engineering — Essential practice for optimizing interactions with models like GPT-6 Astra.

117 words

Radar Profile

The radar profile shows high scores in content quantity and quality, reflecting comprehensive coverage and clear explanations, but moderate technical depth and reliability, as the tutorial is more practical than rigorous. This suits its intended beginner audience.

Reliability 6/10