
reachpad: infrastructure for your coding agents
Infrastructure for running and monitoring AI coding agents continuously from your browser.
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser
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16 projects

Infrastructure for running and monitoring AI coding agents continuously from your browser.
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser

Integrates SEO optimization into AI coding agents like Claude Code.
Sharanxxxx

Monitor AI costs by feature, forecast spending, and set guardrails for your team.
@eastbase_studio · X

Practice coding interviews and system design with an AI coach instead of a human judge.
@preproomai · X
🟢Get ready for #vibecoding and AI #codereview. It is cutting-age & you can't miss: Time to ditch old-school @LeetCode ! #SoftwareEngineering #TechInterviews #CodingSkills #TechCareers #PrepRoom #TechCareers #SystemDesign #ITJobs #CareerGrowth

Solve daily coding challenges with AI assistance and track your developer streak.
u/Administrative_Egg78 · Reddit
I built this because AI was making me a dumb&lazy engineer I noticed something sad about how I use AI. I was shipping faster, but practicing less. I could get answers quickly, but I was losing the habit of working through the fundamentals myself. So I built Unrot: short daily challenges for developers across languages, system design, architecture, data engineering, and other tracks. Game/xp and rewards system, a tiny bit competitive. No signup required to try it: https://unrot.dev

Coordinate multiple AI coding agents on shared code without conflicts or signups.
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b

Monitor AI API costs from OpenAI, Anthropic, and xAI by connecting provider keys.
@ylin_ · X
So my launch of – the simple, proxy-less AI model cost monitoring software – didn’t generate much response. I said I would build this in public, so here is an update. I am very happy with the app for my own use. It’s everything I want it to be. So even without users, I’m glad I built this just for myself. It’s probably not accurate to say I “launched” this. All I did was publish the app, make a single post on X, LinkedIn and Show HN. That’s not really any sort of distribution effort needed for an app. So I will continue to get the word out regarding Costbase on Reddit, and other places, as well as engaging with X users who have problem with AI cost. (If you guys have ideas, lmk) It’s just a small app, a side project, so I won’t put too much time marketing this before calling it quit. Pre-AI, I’ve always spent so much effort building an app that I don’t have any time left for marketing (I also run an ERP consultancy). Now, building is pretty much automated, so th

AI assistant for chat, coding, and APIs that maps your codebase and routes 30+ frontier models.
@otakuaakash · X

Get AI-powered code reviews with fix suggestions on your pull requests.
@Kony_05 · X
Here’s my products. KOINCODE CLI KOINCODE Review

Design mobile app interfaces with AI and export to HTML, design tokens, and implementation code.
@9to5_Dad · X
Ai mobile app ui designer with taste

Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

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