ஓப்பன்ஏஐ கோடெக்ஸ்: உங்கள் குழுவில் உள்ள ஒரு ஏஐ கோடிங் கூட்டாளி (ஏஜென்ட்)

This episode of Exploring Modern AI in Tamil podcast explains how a beginner should start setting up and using Codex efficiently for team projects.

- Highlights how to Use the slash plan command to interview Codex and clarify complex coding tasks.

- Explains how to use a global AGENTS.md in your home folder for personal coding defaults.

- Details how to customize review criteria within AGENTS.md for specific project needs.

- Details how to create an AGENTS.md file to share engineering standards and verification steps with teammates.

- Explains how to set up team AGENTS.md files to enforce shared engineering standards across repositories.

- Details how to establish a cadence for updating AGENTS.md based on team feedback.

- Explains how to refine review feedback by adding specific focus rules to AGENTS.md.

- Builds simple skills first for repeatable work before moving to full automation.

- Details how to create custom skills for your team to automate recurring repository maintenance tasks.

- Explains how to configure MCP servers for integrating external context into Codex.

- Details how to organize team permissions for shared repositories and agent access.

- Describes how to use subagents to offload smaller bounded tasks and keep the main thread focused.

- Explains how to Structure complex projects by offloading individual tasks to dedicated subagents.

- Describes how subagents can work in parallel to speed up development cycles.

- Explains how to trigger an automated code review on GitHub.

- Explains how to Set up automated GitHub reviews for every pull request opened.

- Describes how to use @codex review to perform ad-hoc cloud tasks.

- Details how to mention @codex review to automate feedback on your GitHub pull requests.

- Explains how to differentiate between P0 and P1 issue flagging during reviews.

- Highlights how to Use the slash review command to check your work against specific guidelines or for specific file feedback.

- Explains how to customize review focus by mentioning specific concerns in your GitHub comment.

- Shares how to fine-tune GitHub review flags for specific project documentation.

- Details how to balance manual code review with automated agent feedback for teams.

- Details how to transition from manual tasks to automated scheduled background workflows as you gain experience.

- Explains how to scale workflows using automations for recurring maintenance.

- Details how to use automations to handle scheduled, repetitive work.

- Explains how to create automations to summarize commits and check for CI failures regularly.

- Details how to configure global and repo-level defaults in config.toml for consistent environment behavior.

- Explains how to manage settings via config.toml to maintain durable preferences across different sessions.

- Explains common pitfalls like bloated context or skipping planning stages.

- Describes how to organize long-running tasks using pinning and worktrees.

- Explains how to organize long-running work with thread management and session control commands.

- Details how to Use the skill-creator tool to build your first custom skill.