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
Security Archives - TechRepublic
T
Tor Project blog
Project Zero
Project Zero
S
SegmentFault 最新的问题
月光博客
月光博客
P
Palo Alto Networks Blog
H
Help Net Security
美团技术团队
Spread Privacy
Spread Privacy
Cyberwarzone
Cyberwarzone
T
Threatpost
Jina AI
Jina AI
S
Securelist
S
Schneier on Security
有赞技术团队
有赞技术团队
T
The Exploit Database - CXSecurity.com
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
P
Privacy International News Feed
The Hacker News
The Hacker News
AWS News Blog
AWS News Blog
J
Java Code Geeks
Hugging Face - Blog
Hugging Face - Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
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
Simon Willison's Weblog
Simon Willison's Weblog
T
Threat Research - Cisco Blogs
酷 壳 – CoolShell
酷 壳 – CoolShell
量子位
T
The Blog of Author Tim Ferriss
Google Online Security Blog
Google Online Security Blog
aimingoo的专栏
aimingoo的专栏
T
Troy Hunt's Blog
Hacker News: Ask HN
Hacker News: Ask HN
T
Tailwind CSS Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
G
Google Developers Blog
爱范儿
爱范儿
AI
AI
腾讯CDC
Apple Machine Learning Research
Apple Machine Learning Research
云风的 BLOG
云风的 BLOG
MongoDB | Blog
MongoDB | Blog
H
Hacker News: Front Page
C
Cybersecurity and Infrastructure Security Agency CISA
Engineering at Meta
Engineering at Meta
The GitHub Blog
The GitHub Blog
L
LangChain Blog
博客园 - 【当耐特】
Microsoft Security Blog
Microsoft Security Blog
N
News and Events Feed by Topic

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 Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Coding Agents over Telegram, Part 3: The Day-to-Day Operating Contract
Jeril · 2026-06-14 · via DEV Community

You finished Part 2, so you have a topic where you type a message and a coding agent answers and drives a pane. This post is the operating contract: the small vocabulary the relay understands, the one routing rule that confuses everyone the first day, and (because this is a phone wired to a shell) the short list of things you must never send. It's a contract, not a tutorial; read it once and you'll drive the thing confidently.

Keep the mental model from Part 1 in front of you: you are talking through a relay agent to a coding agent in a tmux pane. The relay is a courier. Most of what you type is forwarded straight to the pane; a handful of words are handled by the relay itself.

The words the relay handles directly

These are local control: the relay acts on them instead of forwarding them. They come from the relay's AGENTS.md (the command table you wrote in Part 2), so the exact phrasings are yours to tune:

You type What happens
status / what's in tmux? Relay captures the pane, strips the terminal formatting, and summarizes what the agent is doing right now
send <message> Relay types <message> into the pane and submits it
compact / new session Relay sends the agent's compaction / new-session command
interrupt / stop it Relay interrupts the running turn (it confirms first)
restart Relay cleanly exits and relaunches the coding agent, resuming the same session (no confirmation)

status is the one you'll lean on most. Until you add the automatic monitors in Part 4, status is how you check in: there are no progress pings yet, so you ask.

One caveat to hold onto: status shows you what's on the pane right now; it's a snapshot, not proof. It can report that the agent claims the tests passed; it can't tell you they actually did. Treating that claim as something to verify rather than trust is exactly what Part 5 is about.

Which control, when? Reach for interrupt when the agent is doing the wrong thing or about to take an unsafe step: you want to stop this turn and redirect. Reach for restart only when the pane or session is genuinely wedged; it resumes the same session, so you keep your context. Use compact when the conversation is getting long but you want to keep going, and new session to start a fresh, unrelated task.

Everything else goes to the agent

Anything that isn't one of those control words is forwarded verbatim into the pane. "Add a retry to the upload client and run the tests" isn't a command the relay interprets; it's an instruction for the coding agent, so the relay just types it in and lets the agent work. That's the default, and it's most of what you do.

Treat that first message like a good ticket: name the repo and branch, the change you want, the test expectation, and any constraint. The agent acts on what you give it, so a precise prompt beats a chatty one.

(Need to send a literal control word to the agent, say the actual text status? Use send status, which types it into the pane instead of triggering the relay's own status.)

The one gotcha: option replies belong to the agent

This is the single thing that confuses everyone on day one, so internalize it now.

When the coding agent (inside the pane) asks you something (prints A / B options, asks Proceed?, or yes/no), your short reply is an answer for the agent, and the relay forwards it verbatim. It does not act on it itself.

After the agent shows options, typing:

  • A, B, yes, no, do it, sorry, B → goes straight to the pane as your choice.

That's what you want: you're answering the coding agent's question, not issuing a new command to the relay. The reason this needs stating is the failure mode it prevents: without this rule, a bare A could be misread as an instruction to the relay, and it might go act on "option A" itself instead of passing your choice through.

If you ever genuinely want the relay to make the choice or do something local, address it explicitly: you pick A or don't send this to the agent, just tell me X. Explicit address is the override.

Part 4 hardens this with a deterministic router so the classification is instant and never guesses. In your Part 2 setup it's handled by the relay's own instructions, which is enough as long as you remember the rule above.

Know which agent you're talking to

Topics map to agents, and not all agents are equal:

  • A relay agent (what you built in Part 2) is pinned to one pane: by itself it can only nudge that agent, read the pane, and restart it, nothing more. But be clear-eyed: the relay is not a security boundary. The coding agent in that pane can still do whatever its own local permissions allow; the pin constrains the relay, not the agent's reach, which is why the rules below matter.
  • An ops agent (covered later) is not pinned. It runs commands across the whole box and owns sensitive jobs like credential refreshes. It is far more powerful, and you treat its topic with more care precisely because there's no pane boundary containing it.

For pre-work you have exactly one relay and one pane. Just be aware that "which topic am I in?" determines "how much can this agent do?" That's a habit worth forming before you add an ops topic.

What you must never type

This is Telegram talking to a shell. The relay enforces guardrails (you encoded the first ones in its AGENTS.md), but you are the first line of defense. The contract:

  • Production and staging are read-only. Never ask the agent to apply, delete, edit, patch, scale, or restart anything in prod or staging. Inspect and debug only.
  • No pushes or merges to shared branches. Feature and bugfix branches are fine; main / dev / GitOps branches are human-merge-only. A merge to a GitOps branch is a deploy.
  • Shared infrastructure needs a human. Gateways, API gateways, and anything used by other teams: no mutations without explicit human approval.
  • Never paste secrets into a relay topic. Credentials are an ops-agent concern, and even there they go in via a guarded path and are never echoed or relayed. A relay topic is the wrong place, full stop.

If the relay refuses an instruction or asks you to confirm, don't fight it; that's the contract working. Right now that contract is the explicit rails in your agent's AGENTS.md plus your own operator discipline; the series' final piece (the supervisor) makes the judgment automatic and harder to bypass.

A day in the life

What this actually feels like, with only your Part 2 setup:

  1. From the queue at a coffee shop, you open the topic and type a task: "In the upload service, add exponential backoff to the S3 client and run the unit tests." The relay forwards it; the agent starts.
  2. A few minutes later you type status. The relay summarizes: tests running, two failing.
  3. The agent asks whether to bump the retry ceiling to 5 or 10. You reply 5. It goes to the pane; the agent continues.
  4. You type status again: the pane reports the tests green. You ask the agent to open a feature branch and push, and it does.
  5. It got wedged once on a stale process; you typed restart and it came back on the same session.

No terminal, no SSH, the whole loop from your phone. In Part 4 you'll add monitors that push progress and a final summary automatically, so you stop having to poll with status. But the loop above already works today.

Before the session

You're set if you can still tick the Part 2 readiness gate:

  1. The bot replies to status in your topic.
  2. A real instruction reaches the pane and the agent acts on it.
  3. Routing is correct (your agent handled your topic).
  4. The group is locked down: allowlist, your ID only, no @mention required.
  5. You can drive the loop above end to end.

Bring a redacted screenshot of that working loop as your "I'm ready" artifact. If you're blocked, send your symptom plus Node/pnpm versions and the last few (redacted) gateway log lines so it's sorted before we're in the room.

That's the end of the pre-work. In the live session we go beyond a single courier: Part 4 makes agents genuinely capable (loadable skills, tool servers, per-topic memory, and the monitors that notify you automatically), and Part 5 is the payoff: the skeptical supervisor that audits an agent's evidence and blocks the confident-but-wrong answer before it reaches you.