惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

IT之家
IT之家
博客园_首页
S
SegmentFault 最新的问题
罗磊的独立博客
博客园 - 【当耐特】
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
阮一峰的网络日志
阮一峰的网络日志
D
Docker
雷峰网
雷峰网
Google DeepMind News
Google DeepMind News
博客园 - 司徒正美
V
V2EX
大猫的无限游戏
大猫的无限游戏
V
Visual Studio Blog
腾讯CDC
宝玉的分享
宝玉的分享
酷 壳 – CoolShell
酷 壳 – CoolShell
人人都是产品经理
人人都是产品经理
T
Tailwind CSS Blog
Vercel News
Vercel News
H
Help Net Security
博客园 - Franky
D
DataBreaches.Net
aimingoo的专栏
aimingoo的专栏

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Grom — Free, Open-Source AI Coding Assistant for VS Code ...
Ryan · 2026-05-05 · via DEV Community
Cover image for Grom — Free, Open-Source AI Coding Assistant for VS Code (Ollama, LM Studio, Anthropic, and More)

Ryan

Grom — Free, Open-Source AI Coding Assistant for VS Code (Ollama, LM Studio, Anthropic, and More)

I've been building Grom, a free and open-source VS Code extension that brings agentic AI coding to your machine. No telemetry, no mandatory account, no subscription. If you use Ollama or LM Studio, nothing ever leaves your machine.


What is it?

Grom is a chat + agentic coding extension that lives in the VS Code sidebar. You can talk to it like a regular AI assistant, or switch it into BUILD mode where it reads files, writes code, searches your codebase, and runs terminal commands autonomously — pausing for your approval before anything destructive happens.


Key features

Chat

  • Streaming chat with PLAN and BUILD modes
  • Multiple sessions, compact history, export to Markdown
  • Persistent memory — custom instructions injected into every chat
  • Per-session system prompt override

Agentic loop

  • Built-in file tools: read, write, delete, search, list directory, run terminal
  • MCP (Model Context Protocol) server support
  • Per-action approval for destructive operations — nothing gets written or deleted without you seeing it first
  • Diff-aware undo — after the agent writes files, an undo button appears so you can revert any or all of the changes
  • Task log showing every tool call with args and results

RAG

  • Your codebase is automatically indexed with BM25 + optional semantic embeddings via Ollama
  • Relevant files are attached to every message without you having to think about it

Inline autocomplete

  • Ghost-text completions as you type
  • Adaptive debounce — slows down automatically when you rarely accept suggestions
  • Word-by-word partial accept
  • Per-language model routing

@ Context mentions

  • @filename — attach any workspace file
  • @selection — currently selected code in the editor
  • @git — your uncommitted diff
  • @terminal — recent terminal output
  • @problems — all VS Code errors and warnings
  • @url:https://... — fetch and attach a web page
  • @docs — search indexed documentation sources

Providers
Works with pretty much everything:

  • Local: Ollama, LM Studio, Open Code
  • Cloud: Anthropic (Claude), OpenAI (GPT-4o), Groq, Mistral, Gemini
  • Custom: any OpenAI-compatible or Anthropic-compatible endpoint

API keys are stored in the OS keychain — never in settings.json.


Why I built it

I wanted something like Cursor or GitHub Copilot but with full control over where my code goes. Most existing extensions either require a cloud subscription, send your code to a third party by default, or don't support local models well. Grom is designed so that local-first is the default, and cloud providers are opt-in extras.


Quick start

  1. Install from the VS Code Marketplace
  2. Install Ollama and run ollama pull qwen2.5-coder
  3. Open the Grom panel from the activity bar and start chatting

For cloud providers, select one from the dropdown and paste your API key when prompted — it gets stored in the OS keychain immediately.


Links

It's early days — v0.3.5 is out now. Would love feedback, bug reports, or feature requests via GitHub Discussions.