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

云风的 BLOG
云风的 BLOG
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
J
Java Code Geeks
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Engineering at Meta
Engineering at Meta
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
小众软件
小众软件
博客园 - 聂微东
酷 壳 – CoolShell
酷 壳 – CoolShell
月光博客
月光博客
Last Week in AI
Last Week in AI
博客园_首页
I
InfoQ
T
Tailwind CSS Blog
爱范儿
爱范儿
雷峰网
雷峰网
Recent Announcements
Recent Announcements
F
Fortinet All Blogs
B
Blog
WordPress大学
WordPress大学
A
About on SuperTechFans
V
Visual Studio Blog
有赞技术团队
有赞技术团队
P
Proofpoint News Feed

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
Building Phonton: a local-first AI coding CLI that verifi...
Matthew · 2026-05-03 · via DEV Community
Cover image for Building Phonton: a local-first AI coding CLI that verifies diffs before review

Matthew

I have been building Phonton CLI, an open-source local-first AI coding agent.

The idea is simple: instead of treating an AI coding tool like a chat box, Phonton treats it like an engineering workflow.

It tries to follow this loop:

  1. You give it a goal.
  2. It creates a plan.
  3. It works against your local repo context.
  4. It verifies the generated diff.
  5. You review the result before accepting it.

Most AI coding tools are optimized for speed and convenience. Phonton is more focused on making AI-generated changes easier to trust.

Why I built it

I wanted a CLI agent that was:

  • local-first
  • BYOK, so you use your own provider keys
  • review-oriented
  • built around verification
  • able to remember repo decisions locally
  • useful from the terminal

The goal is not to replace every tool like Claude Code, Codex, Cursor, or OpenCode. The goal is to explore a stricter workflow for AI-assisted coding: plan, verify, review, then ship.

Current status

Phonton is still early alpha.

It currently has:

  • a Rust CLI/TUI
  • provider adapters
  • planning
  • local memory
  • repo indexing
  • verification flow
  • review commands
  • checkpoint/rollback work

There are still rough edges, and I am not claiming it is production-ready yet.

Try it

npm install -g phonton-cli
phonton doctor
phonton plan "add input validation to config loading"

Enter fullscreen mode Exit fullscreen mode

GitHub:

https://github.com/phonton-dev/phonton-cli

I would appreciate feedback from developers who already use AI coding agents and care about local-first workflows, reviewable diffs, and verification.