Neptune
Give your coding agents DevOps superpowers
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Hi HN,We are the team behind Shuttle (YC S20). We just shipped Neptune, (https://github.com/shuttle-hq/neptune-mcp) an open source MCP server that lets coding agents actually deploy software, not just write code. Behind it is an app deployment platform we built to be friendly for AI agents.Neptune runs in your IDE. It reads your codebase, analyzes its structure and intent using ASTs and inference, and generates a deterministic infrastructure spec called neptune.json. You can inspect every change, approve it, and apply it. Think: coding agents that can actually ship safely to AWS.How it works in practice:1. Take any of your existing apps 2. Install Neptune mcp & login 3. Tell your agent to deploy 4. Watch it do everything else for you and (super important) it keeps you in the loop at every step, asking for your approval and guidance. We’ve spent most of our time implementing guardrails to make this as safe as if you were doing it yourself.We built this after seeing teams rely on AI to write services, but still hand-craft Terraform and YAML. The AI could write code, but it could not understand the system around it. Neptune tries to close that gap.Right now we have support for the most basic AWS products (ECS, S3, SecretManager), and we support postgres (thanks to Neon) and we are adding more resources as we speak. For now, your apps are all deployed to our a shared tenancy AWS account, and “bring your own cloud” account is coming soon too.If you are also excited about a future where coding agents can help you reliably ship stuff into production, try it and share what you think.If you have tried it on shared tenancy and would like to run it in your own AWS account, just get in touch and we’d be happy to help.
HN · launched Dec 15, 2025 · 18 upvotes (top 36%) · 0 views
Niche: ai devops and codebase management tools · 140 launches, 4 in the last 7 days ▼ -20% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 140 launches in ai devops and codebase management tools →
Could you build this?
Partial The Model Context Protocol (MCP) server wrapper is trivial to vibe code, but the underlying automated cloud deployment and container orchestration platform requires serious infrastructure engineering.
What it would actually take: While the MCP interface in Node or Rust is simple, a real deployment platform requires building multi-tenant infrastructure using Kubernetes, Nomad, or Firecracker microVMs, alongside dynamic DNS, TLS provisioning (e.g., Let's Encrypt / ACME), and isolated build environments. It requires seasoned DevOps/cloud systems engineers to ensure safe sandboxed execution of agent-deployed code and resource governance.
Discussion
8 comments analyzed.
Competitors mentioned: Cursor (AI code editor for Terraform), GitHub Copilot
Concerns raised: LLMs lack control guardrails for infrastructure changes, Hard to review diffs for safety in generated Terraform, Risk of accidentally destroying or over-permissioning infrastructure, State management and implicit dependencies are brittle for autonomous edits, Small app changes explode into hundreds of lines across modules
Feature requests: Support for GCP cloud deployment, Bring your own cloud capability, Multi-cloud deployment support
Competitors
Other products that read as similar to this one : 610 launches clear the similarity bar, closest 8 shown.
Attention rank: #286 of 611 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 41 days after the earliest competitor.
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- Neptune Atlas · ph · 2026-09-29 · 1 upvotes · similarity 0.45
- Hangar · ph · 2026-11-07 · 2 upvotes · similarity 0.44
- Run AI coding agents in real, local sandboxes, not Git worktrees · hn · 2026-04-12 · 6 upvotes · similarity 0.44
- Crewship · hn · 2026-02-27 · 11 upvotes · similarity 0.44
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