Why Your Coding Agents Need to Be Team Infrastructure, Not Personal Tools
Let's be honest: if you're using coding agents in your engineering org, you've probably got a bit of chaos brewing.
Individual developers have their own MCP configurations, custom prompts, personal automation scripts nobody else can access, and zero visibility into what actually happened when the agent ran. Your "team infrastructure" is really just a collection of personal shortcuts held together by hope and tribal knowledge.
Assembled ran into this exact problem. Their coding agents worked great for individual engineers—but the surrounding workflow was messy. Really messy.
The Problem With Personal Coding Agents
Here's what typically happens: Developer A has a Claude Code setup that connects to their GitHub fork and Linear. Developer B prefers Codex with Sentry integration and their own Slack notifications. Developer C has basically built a Rube Goldberg machine of scripts that only they understand.
When someone leaves? When you need to reproduce what the agent actually did? When you want to audit whether the agent's output matches what was actually committed?
You're basically stuck.
The real issue isn't whether coding agents are useful (they are). It's that we've been treating them like personal text editors instead of team infrastructure. And that creates three problems:
- Knowledge silos — Only one person knows how the agent is configured
- Reproducibility gaps — You can't easily replay or audit agent actions
- Collaboration barriers — What works for one engineer doesn't help the team
Enter 143.dev: Coding Agents as Shared Infrastructure
Assembled built an internal system to solve this, and they just open-sourced it. The result is 143.dev—a platform that converts coding agents into team-accessible infrastructure.
The core approach is clever: instead of running agents locally on individual machines, you run them in standardized environments with consistent tooling and visibility.
Here's what that looks like in practice:
Multiple agents, unified platform. The system runs Codex, Claude Code, OpenCode, and other agent harnesses in gVisor sandboxes. This means you can mix and match based on cost, capability, and task type. Assembled's team, for example, uses GLM 5.2 for routine automation tasks (cheaper, fast) and Codex or Claude Code for more complex manual work. Same infrastructure, different agents for different jobs.
Tool integrations out of the box. The system connects to GitHub, Linear, Sentry, Slack, PagerDuty, and more. Previews are easy to generate. Your agents aren't running in isolation—they're plugged into your existing workflow.
Security without friction. gVisor sandboxes provide isolation without the headache of managing full VMs. Agents can do their thing, but they're contained.
MIT licensed and self-hostable. This isn't a hosted SaaS you have to trust with your code. You can inspect it, run it on your own infrastructure, and adapt it to your needs. Assembled was inspired by Stripe's Minions and Ramp's Inspect system, but wanted something the broader community could actually use and modify.
Why This Matters for Startups and Growing Teams
Here's the thing about coding agents: they're only going to get more prevalent. And as your team scales, the "personal script" approach breaks down.
You need:
- Audit trails — What did the agent actually change?
- Reproducibility — Can you run the same task again?
- Knowledge sharing — Can anyone on the team leverage agent workflows?
- Security — Are agents accessing only what they should?
143.dev is tackling these problems head-on. And the fact that it's open source means you don't have to bet your infrastructure on a startup that might not exist in two years.
The Bigger Picture
We're entering a phase where AI coding tools aren't novelties—they're infrastructure. And infrastructure needs to be managed like infrastructure: with visibility, reproducibility, and team-wide access.
Personal coding agents are a start. Team-managed agent infrastructure is where things get interesting.
If you're running a startup or managing an engineering team, worth checking out 143.dev. The code is on GitHub, and it's MIT licensed. No vendor lock-in, no hidden costs—just open infrastructure you can adapt to how your team actually works.
Sometimes the best internal tools are the ones worth sharing.