The full gallery
Tech stack
22 projects
Pulsor connects to your GitHub repositories and reads what you already do commits, releases, shifting tech stacks then drafts developer-focused threads, code cards, and diagrams, r
@yva_n_ · X
Generate launch plans and ready-to-paste copy for your vibe-coded app across multiple platforms.
@VibeLaunched · X
your app is not dead. it's unlaunched. 101 vibe-coded apps on our wall. the average one launched in 1.8 of 80 possible places. we built vibelaunched to fix exactly that.
Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
@soleil_colza_ · X
Analyze and debug code with AI-powered review using OpenAI's API.
TOPDEV99999 · GitHub
AI-codepilot An advanced AI-driven code analysis tool built with Next.js, leveraging OpenAI's API to review and debug code efficiently.
Runs real exploits against your web apps, APIs, and AI features with proof of each finding.
@yedil_bek · X
Building RedRun - security testing that proves what it finds. Runs the real exploit + hands you the exact request/response: SQLi, IDOR, SSRF, XSS, JWT + AI prompt-injection. Zero false positives. Free scan → Active engine invite-only - DM for access code
Point your GitHub repo at this AI scanner to find exploitable vulnerabilities and get fixes.
u/Delicious-Action-351 · Reddit
I failed 4 times and still made an app to make your code more secure. I made an webapp to make your vibecoded app secure. Today, SaaS entrepreneurs ship fast and don’t check for security, at the end they get hacked and it’ll cost them a lot of money. I decided to solve this issue. Netherite is an AI Security Specialist, you connect Github and choose repo to run security scan. It scans your whole repo in minutes and hands you the professional report and fix prompt for your ai agent. You ca
AI-powered code review tool that executes code in microVMs to detect 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
Analyze Python code across 14 quality dimensions to detect violations and measure capabilities.
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!
AI platform for building full-stack apps using up to 10 parallel specialized agents.
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents
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)
