Frequently Asked Questions
Common Questions About Building a Local Coding Assistant
Common questions about the workshop, what to expect, and how to prepare.
What can my own locally built coding assistant do? +
Your locally built coding assistant handles code review and suggestions, explains unfamiliar code, helps debug errors, generates code from descriptions, writes tests, explains error messages, helps with regex and SQL, assists with documentation, and answers technical questions — all without sending your code to any external AI service.
How do I interact with my locally built coding assistant? +
Your coding assistant is accessible through WhatsApp or Telegram — you paste code or ask questions in chat and receive AI responses. This conversational interface makes it easy to have back-and-forth technical discussions and iterate on code suggestions without leaving your messaging app.
Is building my own local coding assistant better than paying for Copilot? +
It depends on your use case. If inline IDE autocomplete is your primary need, Copilot has a workflow advantage. If you want a conversational coding assistant for code review, explaining code, and answering technical questions — particularly for proprietary or sensitive code — building your own local coding assistant offers better privacy, zero ongoing cost, and full control.
What open weight models perform best for a locally built coding assistant? +
Llama 3 8B and Mistral 7B Instruct are strong general-purpose choices that handle coding tasks well. The instructor compares model performance for coding tasks during the workshop to help you choose the right model.
Can I extend my locally built coding assistant with additional capabilities? +
Yes. OpenClaw's skills system lets you add capabilities beyond conversational coding assistance — such as querying your local documentation or automating code review workflows. The instructor covers the skills architecture so you can extend your coding assistant after the workshop.
How long does my own locally built coding assistant take to respond to code questions? +
Response time depends on query complexity and hardware. Simple questions receive responses in 3 to 10 seconds on a laptop with 16GB RAM. Complex code review tasks take 10 to 30 seconds. Phi-3 Mini provides quicker responses at slightly reduced quality.
