@rubs_murga · X

yusveng · HN

Workaround – Unstar GitHub Repos in Bulk

@xavier_shipfit · X

. It's an idea-to-playbook decision engine for vibe coders. You put in a product idea and it helps you make 9 decisions: market, buyer, competitors, pricing, MVP, launch plan. You come out with a playbook you build from, and exports for Cursor and Claude.

@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.

u/grandamateur1 · Reddit

Why does feature request software cost so much? I have 2 apps, both without any good customer feedback collection mechanism. My apps are very customer focused, and so I wanted a way to figure out specifically which features to build next for my users. I first looked for existing solutions, but most were $20+/month, or self-hosted and difficult to setup. Many of these tools had tons of cool features which justified the price, but I did not want all of that. I created Simple Feature B

@akadhanu · X

an ai sprint retrospectives for it teams (

@cultkoushik · X

A problem warehouse for creators

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

@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

@gigi2026tcsp · X

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

@amir_mehrabi_ · X

: Personal Intelligence