AI Coding Tools Setup Ubuntu
Budget: ₹12,500 – ₹37,500 INR
My Ubuntu laptop needs a clean, reproducible setup that lets me tap directly into AI coding assistants—specifically OpenAI Codex or Anthropic Claude—to accelerate day-to-day Python software development.
Here’s what I expect once the job is done:
• A fully configured local environment (Ubuntu 22.04 LTS) with all required SDKs, CLI tools, API keys, and network settings so I can call Codex or Claude from the terminal, VS Code, and Jupyter.
• Smooth workflows for code generation, optimisation, and debugging assistance integrated into VS Code (or another lightweight IDE if you prefer) with examples that prove each capability works end-to-end on a sample Python project.
• Clear, step-by-step documentation and a single bootstrap script or Ansible/DevOps recipe that lets me recreate the whole setup on a fresh machine in minutes.
If you already have experience wiring AI coding tools into Linux environments, this should be quick. I simply need it production-ready, secure, and easy to maintain.
Here’s what I expect once the job is done:
• A fully configured local environment (Ubuntu 22.04 LTS) with all required SDKs, CLI tools, API keys, and network settings so I can call Codex or Claude from the terminal, VS Code, and Jupyter.
• Smooth workflows for code generation, optimisation, and debugging assistance integrated into VS Code (or another lightweight IDE if you prefer) with examples that prove each capability works end-to-end on a sample Python project.
• Clear, step-by-step documentation and a single bootstrap script or Ansible/DevOps recipe that lets me recreate the whole setup on a fresh machine in minutes.
If you already have experience wiring AI coding tools into Linux environments, this should be quick. I simply need it production-ready, secure, and easy to maintain.
Related categories:
Python
Linux
Software Architecture
Ubuntu
Java Spring
DevOps
API Integration
OpenAI Codex
AI Development