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The Best LOCAL Agentic Coding Workflow (Complete Guide)

2026-06-10 Education
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Tech With Tim
Tech With Tim
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Description

Deploy your site using here.now completely for free, copy the prompt for your agent here! https://here.now/r/twt In this complete guide, I walk you through the best local agentic coding workflow using LM Studio and VS Code - no API keys, no cloud, no cost per token.You'll learn how to install and configure LM Studio, choose and run the right local models for coding, and connect everything to VS Code so you can use AI-powered agents directly in your editor. This is the exact setup I use for local AI coding that actually works. Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter 🚀 Tools I Use Get 10% off with code techwithtim Openclaw setup: https://www.hostinger.com/techwithtim VPS setup: https://www.hostinger.com/techwithtim10 Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jun26 🎞 Video Resources 🎞 Presentation in This Video: https://clever-mirage-d82v.here.now/ LM Studio Download: https://lmstudio.ai/ VSCode Download: https://code.visualstudio.com/ ⏳ Timestamps ⏳ 00:00 | Overview 00:46 | What are Local Models 02:30 | VRAM & Computer Hardware 05:18 | Memory & Model Speed 06:39 | How to Pick a Model 11:10 | Trying It Live 12:23 | LM Studio Setup & Model Download 22:15 | Using Local Models in VS Code 28:43 | Autocomplete Model Setup Hashtags #LMStudio #AICoding #AIDevTools UAE Media License Number: 3635141

Top Comments (10)

@yankoaleksandrov9050 2026-06-11

One thing this workflow surfaces that's easy to overlook: model latency under agentic load is fundamentally different from interactive chat. When an agent loops — tool call → model response → next call — even a 1.5s/token slow-down compounds badly across a 10-step chain. So the hardware running your local model matters more for agents than for one-shot chat. Two profiles worth distinguishing: Workstation GPU (what this video shows): best for heavy models (70B+), batch jobs, fast single-response latency on large contexts. Power draw is high, so you probably close it when you're not actively coding. Always-on edge box (Jetson-class, low-power mini PCs): 10–15W, runs 24/7, handles persistent background agents, memory consolidation, watch tasks. You sacrifice model size but gain availability — the agent is there when you need it, not only when you decide to spin it up. Neither is strictly better; the use case drives the choice. A dedicated low-power box for always-on background tasks alongside a bigger GPU box for heavy generation is a real setup worth considering if you're serious about local agentic workflows. (Disclosure: we build ClawBox, a Jetson Orin Nano pre-configured for always-on OpenClaw agents — so I have a stake in the always-on angle. Tim's guide covers the GPU workstation side well; I'm just flagging the complementary hardware picture.)

28 1 replies
@almondmilkandavocad0s 2026-06-11

This is probably the most practically useful video for those who want to get their hands dirty.

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@studyireland 2026-06-10

This is what I’ve been waiting for… thanks

6 1 replies
@existenceisillusion6528 2026-06-16

Good to see completely local model finally getting some attention. I've been working on a custom agentic system for the past year. Entirely custom harness, no Ollama, no LMStudio. I need it to be custom because it's the basis of an academic work.

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@TechWithTim 2026-06-10

Deploy your site using here.now completely for free, copy the prompt for your agent here! https://here.now/r/twt

3 3 replies
@RC-01138 2026-06-15

Nice of you to upload this right when I was considering running my own LLMs! Definitely gonna be making use of this

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@mohammadpartovi1813 2026-06-17

Fantastic tutorial, hands on, focused, and right to the point. Thank you.

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@jcohen661 2026-06-10

This is a great workup. I am going through this right now trying to size my dev/stage/prod environments so perfect timing.

0
@otteydw 2026-06-22

Great video, Tim!

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@kshilkrot007 2026-06-16

Great tutorial , thanks for sharing

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