Breaking News – December 21, 2025 – InsForge, a Y Combinator–backed startup (YC P26), today announced the open-source release of InsForge, a backend platform designed specifically for AI coding agents. Inspired by Heroku but built for autonomous developers, the platform gives AI agents the tools to deploy, operate, and debug entire applications without human intervention.
“We wanted our Claude Code to handle all the backend and infrastructure work for us—no more jumping between dashboards, manual config, or copy-pasting logs and docs back to the agent,” said Hang, cofounder of InsForge. “So we built InsForge.”
The platform is available under an Apache 2.0 license on GitHub. A quick demo can be viewed here.
Background
Before InsForge, the team experimented with traditional approaches—creating folders of markdown files and installing multiple MCPs (Model Context Protocols) for services like Supabase, Vercel, GitHub, and Context7. They encountered three core problems:
- Tools were pre-loaded into the agent’s context before any action, wasting tokens and processing power.
- Many MCPs had poorly designed payloads that returned 10,000+ tokens per request.
- Critical tasks such as telemetry and configuration management remained out of reach for most MCPs.
“We realized that coding agents are really good at using the command line,” Hang explained. “So we thought, why not put everything into a CLI and teach them how to use it with Skills?”
What This Means
InsForge is a single command—curl | sh—that installs a CLI and a set of Skills. Once installed, AI coding agents can manage an entire backend without manual oversight. The platform provides a comprehensive suite of primitives:
- Frontend hosting – Static sites and single-page apps.
- Backend servers – MicroVM-based compute for scalable workloads.
- Database – Managed PostgreSQL-like storage.
- Authentication – User identity and session management.
- Storage – Object storage for files and assets.
- LLM model router – Multi-provider AI model orchestration.
- Cron jobs – Scheduled tasks.
- Realtime – WebSocket-based live updates.
- Edge functions – Serverless compute at the edge.
- Vector storage – For embeddings and similarity search.
To make AI agents more reliable—like real backend engineers—InsForge includes several debug-first features.
Key Reliability Features
- Backend branching – Inspired by Neon, InsForge branches the entire backend (database, auth, storage, functions, schedules). Agents work on an isolated branch; developers review diffs and decide to merge or discard. “Agents will 100% mess up—like deleting your database. Branching makes that safe,” Hang said.
- Server telemetry – Agents can read logs, CPU, memory, and disk metrics, then identify root causes of spikes autonomously.
- Debug agent – Every project gets a dedicated debugging agent. The coding agent can ask, “Why did deployment fail?” and the debug agent runs diagnostics, finds root causes, proposes fixes, and sends answers back.
- Backend advisor – Scans the backend daily for security and performance issues, proposes remediations, and forwards them to the coding agent.
Getting Started
Developers can try InsForge on the cloud at insforge.dev or examine the source code on GitHub. The team has published detailed blog posts on Skills & CLI, backend branching, debug skills, and health dashboard.
“We’re a small team reading every comment,” Hang said. “Tell us what’s good, what sucks, what’s missing. We love feedback.”
About InsForge – Founded by Hang and team, InsForge is backed by Y Combinator. It is the first open-source backend platform purpose-built for AI coding agents, treating infrastructure as teachable skills.