@akadhanu · X

an ai sprint retrospectives for it teams (

@cultkoushik · X

A problem warehouse for creators

@VanshSura · X

Just shipped a fresh UI update for MindDock ✨ Redesigned the experience to feel cleaner, faster, and more focused—making it easier to capture ideas and stay in flow. Still a lot more to build, but I'm happy with how it's evolving. 🚀 #buildinpublic

u/Most-Football-4401 · Reddit

AI is writing more and more of our code. I think that means we need to get much better at reviewing it. We have a lot of tools to practice coding (LeetCode, HackerRank, Codewars, and so on). But I see very little on practising reviewing code, especially code written by AI . I am aware industry is running to build tools for AI review AI written code (the fox guarding the henhouse). But I believe it is just a matter of time before regulators start slapping hands for doing so in regulated indus

@demariwa · X

Turn an idea into a valuable business proposal. Check out what I just built with Lovable!

thejarren · HN

Hey HN, I'm really excited to share Emra with you. The yc description would be: It's like "Notion meets Lovable". It's a workspace where you build full apps using AI and every app sits on one shared database and service layer. Generated apps are always editable, and (coming soon:) can interact with each other in the workspace. I'm of the opinion that the cost of software will go rapidly to zero (I don't think that's too surprising to any of you), but there will always be room for effort and creativity. Emra is essentially built for the future where every person is a developer. Essentially personal software for everyone. So far I've built notes apps with a 3d graph view to see connections, a video editing app and a canvas design tool (figma clone) with export capabilities, as well as a collection of project management tools and games. Right now the most satisfying thing is being able to fix a bug I run into in around the same amount of time that it takes to send a bug report in any tr

@orsik_sergey · X

@BobbySBX · X

We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea

@DeveloperL92487 · X

I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

@Mayowaa416 · X

@gigi2026tcsp · X

Check out what I just built with Lovable! I've spent month working on this. Teachers, Check it out!

@letnull19a · X

- a PaaS for transparent product specs (in development). Write specs once, your teams stays aligned