Developer Tools1 month ago
EdgeX11 — Build Your Digital Engineering Workforce
AI engineering workforce that plans, builds, tests, and ships code with human oversight.
@edgex11lz · X
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24 projects
AI engineering workforce that plans, builds, tests, and ships code with human oversight.
@edgex11lz · X
Ship faster with AI, and know the work is actually done. ShipSure checks every change your coding agent makes against your tests, your build, your types, your scope and your rules
@Webappers_ofc · X
Describe your code idea in English and QuikRun generates, tests, and runs it live.
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan
A local notebook for prototyping and planning with coding agents.
narwhster · HN
A notebook for prototyping with your agent
Generate production-ready code from PRD and technical specifications.
@codalioinc · X
The vibe-coding loop: "fix it" × 7, 512K tokens, still not shipped. The Codalio loop: PRD → build → deploy. Need a change? Edit the PRD. +1,900 tokens. Stop paying tokens to discover your own requirements.
Turn your idea into a build-ready plan with specs, tools, and hiring suggestions.
@moksy_ai · X
That 10% is specs. Knowing your edge cases, user flows, and what ‘done’ actually means before you write a line. Vibe coding with a clear spec produces real products. Without one, you're just building a very fast demo. Moksy handles the spec. Free.
Generate realistic mock APIs with response rules, variables, and AI-assisted setup for development testing.
u/Not_Imagine · Reddit
I built a tool to instantly generate mock APIs instantly with AI Hi everyone, We all run into the same frustrating bottleneck on projects: the UI is ready to go, but the backend API isn’t finished yet and we need to resort to hardcoding mock data. This, however cannot reproduce edge cases like rate-limiting, network latency, or 500 errors. To solve this, I built SynthAPI https://getsynthapi.com/ It's a developer tool that lets you generate live mock API endpoints in se
Directory of tested AI prompts for building app components like auth, payments, and analytics.
@mannam_11 · X
AIWA is your AI product team: plan, architect, build, test, ship and evolve real full-stack apps. Describe it. Watch it build. Ship it.
@aiwadotcodes · X
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
AI agent that analyzes your code repo and deploys it to production infrastructure automatically.
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it
Generate production-ready specs from a project description: PRD, requirements, architecture, and roadmap.
@satulipa_ · X
My workflow: 1. Open Speckit → answer 5 questions 2. Get blueprint (PRD, DB, API, roadmap) 3. Take it to Cursor/Claude Code 4. Vibe code with actual direction Built with Next.js, Vercel, try it on