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

S
SegmentFault 最新的问题
月光博客
月光博客
大猫的无限游戏
大猫的无限游戏
GbyAI
GbyAI
博客园 - 叶小钗
小众软件
小众软件
WordPress大学
WordPress大学
I
InfoQ
Last Week in AI
Last Week in AI
Vercel News
Vercel News
博客园 - Franky
Stack Overflow Blog
Stack Overflow Blog
P
Proofpoint News Feed
A
About on SuperTechFans
Engineering at Meta
Engineering at Meta
腾讯CDC
D
DataBreaches.Net
有赞技术团队
有赞技术团队
宝玉的分享
宝玉的分享
Jina AI
Jina AI
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
G
Google Developers Blog
V
Visual Studio Blog
酷 壳 – CoolShell
酷 壳 – CoolShell

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
Agent browser runs need receipts, not just screenshots
Armorer Labs · 2026-06-21 · via DEV Community

Armorer Labs

Agentic browser work is getting good enough that teams are starting to trust it for real workflows: researching, filling forms, testing dashboards, and operating internal tools.\n\nBut once an agent can browse and click, the hard question changes from can it do the task to can we prove what happened?\n\nAt Armorer Labs, we keep coming back to a simple pattern: separate the agent planning loop from the control plane that owns tool permissions, policy, human approvals, and run receipts.\n\nThat separation matters most around side effects. A browser agent should be able to propose a click, a post, or a submit action, but the runtime should record the requested action, the page context, the approval scope, and the final verification evidence. Screenshots are helpful, but they are not enough by themselves. Teams need a structured trail that says what was attempted, what was approved, what was actually clicked, and what URL or artifact proves completion.\n\nFor Armorer and Armorer Guard, the goal is to make that operational layer local-first: agents can run on your machine or server, while the guard/control plane keeps the audit trail and enforces policy before external side effects happen.\n\nThe interesting design question is where this boundary should live. MCP gateway? Browser tool wrapper? Agent runtime? A separate local control plane?\n\nMy current bias: put the enforcement as close to the tool call as possible, then store receipts somewhere durable enough that a human can inspect them later.\n\nCurious how others are handling this for production browser agents. Are you logging raw traces, structured receipts, human approvals, or all three?