Developer Tools1 month ago
Servercn
Browse and copy production-ready Node.js backend components inspired by shadcn/ui
Open source
@_akkal_dhami · X
The full gallery
Tech stack
17 projects
Browse and copy production-ready Node.js backend components inspired by shadcn/ui
@_akkal_dhami · X
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
Monitor server uptime, SSL certificates, and service availability for your infrastructure.
@Robby_Seventeen · X
Monitor servers with uptime checks and on-call escalation powered by AI root-cause diagnosis.
@iamjackwiz · X
Self-hosted deployment platform offering Vercel-like developer experience on your VPS.
@ohdearkk · X
AI-powered code review tool for JavaScript and TypeScript repositories that identifies issues without executing code.
@adib_011 · X
Built RepoLens at the Codex Meetup, an evidence-first JS/TS code review tool that shows reviewers where to look, without executing repository code. Built with Codex + GPT‑5.6. Try it: Demo: @OpenAIDevs @mitul_shahriyar #CodexMeetup
Jira plugin for managing test cases, requirements, and execution with traceability.
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)
Visually build and deploy full-stack Next.js applications.
@sivasankar___s · X
I’m currently deep in building Rudra, a visual orchestrator for Next.js designed for full engineering control. Zero vendor lock-in—you own the code. Website: App Build with Rudra
Cloud environment where coding agents run code, verify results, and submit pull requests.
@smehmood · X
Several customers of ours have factories shipping 100s of PRs to 1000s of B2B customers, built on But they all remind me of the pre-Claude-Code agents that had overly static workflows. Not sure what, yet, but something else is the future.
AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
Convert your OpenAPI specification into a hosted MCP server.
@bhshekhaliya · X
Benchmark version-control systems and coding agents on realistic development tasks.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler