InsForge
Open-source Heroku for coding agents
Details
- External ID
- 48181342
- Source
- HN
- Company
- —
- Product
- InsForge
- Website domain
- github.com
- Launched
- May 18, 2026
- Cohort
- —
- Upvotes
- 62
- Upvotes percentile
- 0.8570274636510501
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug end-to-end. Open source under Apache 2.0 (https://github.com/InsForge/InsForge). Quick demo here (https://youtu.be/7Bax5qz0IfM).We started InsForge because we just wanted our Claude Code to handle all the backend / infra stuff for us, instead of us jumping between dashboards doing manual config, or copy paste logs and docs back to agents.We first tried creating a folder with bunch of .MD files, and installing MCPs like Supabase, Vercel, GitHub, Context7. But soon we found MCPs have their own problems: (a) Tools get pre-loaded into context, before agents even do anything (b) bad design, payloads are returning 10k+ tokens, and (c) a lot of stuff still can’t be done by MCP: e.g. telemetry and configs.So we think, because coding agents are so good at CLI, why not just put everything in CLI and create Skills to teach them how to use it?That’s InsForge: 1 command to install our CLI + Skills, coding agents can run the entire backend platform [1].We started with authentication and database, but we kept adding more primitives we wanted, so now we have: - frontend hosting - backend servers (microVM based) [2] - database - auth - storage - LLM model router - cron jobs - realtime - edge functions - vectorWe have other features to make coding agents more reliable like real backend engineers:- backend branching [3]: agents will 100% mess up, like deleting your database. So inspired by Neon, we branch the entire backend (DB, auth, storage, functions, schedules). Agents work on the branch, you review diffs and then decide to merge or discard. - server telemetry: agents can read logs, CPU, memory, disk to find spikes and root causes themselves.- debug agent [4]: every project gets a dedicated debug agent. So your coding agent can ask questions like “why deployment fail?”, the debug agent will run diagnoses, find the root causes and propose fixes, then send the answer back.- backend advisor [5]: scans your backend daily for security and performance issues, proposes fixes. Then propose remediations, and sends to your coding agent.Give it a spin on InsForge cloud :https://insforge.dev, or read our code here: https://github.com/InsForge/InsForge.We're a small team and reading every comment. Tell us what's good, what sucks, what's missing. We love feedback :)[1] https://insforge.dev/blog/insforge-skills-cli[2] https://insforge.dev/blog/insforge-custom-compute[3] https://insforge.dev/blog/backend-branching[4] https://insforge.dev/blog/introduce-debug-skills[5] https://insforge.dev/blog/backend-health-dashboard
Enrichment
- Theme
- developer tools for AI agents
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- deployment platform for coding agents
- Manually corrected
- False
Could you build this?
Partial A developer-facing dashboard and API for agent deployment is standard, but creating a secure multi-tenant PaaS capable of running arbitrary agent code and sandboxed execution requires serious cloud infra.
What it would actually take: A real platform requires an orchestration layer (e.g., Nomad or Kubernetes), secure microVM isolation (Firecracker or gVisor) to run unvetted agent processes safely, dynamic ingress routing, and automated ephemeral database provisioning. It also requires rigorous real-time log streaming, resource limiting (cgroups/eBPF), and observability pipelines. This demands senior backend infrastructure and platform engineering expertise.
Discussion
7 comments analyzed.
Competitors mentioned: Clerk (auth), Neon (database), Vercel/Cloudflare (deployment)
Concerns raised: Overhyped marketing compared to actual capabilities (just Postgres), Missing security/trust documentation on website
Feature requests: Local simulator for testing before production deployment
Competitors
Other products that read as similar to this one — 273 launches clear the similarity bar, closest 8 shown.
Attention rank: #51 of 274 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 195 days after the earliest competitor.
- InsForge · ph · 2026-03-11 · 624 upvotes · similarity 0.60
- InsForge: The backend platform for AI-native developers · yc · 2026-05-18 · 32 upvotes · similarity 0.49
- AGENTFORGE · ph · 2026-09-30 · 1 upvotes · similarity 0.49
- 143.dev · hn · 2026-06-30 · 13 upvotes · similarity 0.47
- Mini-coder · hn · 2026-03-02 · 6 upvotes · similarity 0.46
- Shikigami, run AI coding agents in parallel, each in a Git worktree · hn · 2026-07-19 · 7 upvotes · similarity 0.46
- InsForge · hn · 2025-11-18 · 7 upvotes · similarity 0.45
- Openbase · ph · 2026-07-26 · 217 upvotes · similarity 0.44
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a model & infra tool for Fintech yet.