... open-source code AI generates that code for you You never visit the project's docs Maintainers lose traffic, revenue, and community Projects become unsustainable The very code AI depends on starts disappearing The numbers back it up. Stack Overflow questions dropped 25% after ChatGPT launched. 92% of US developers now use AI coding tools daily. 41% of all global code is AI-generated. I use Claude Code, Bolt, Lovable, and Replit every day. I'm not anti-vibe coding ... ... training)? I think the mistake here is conflating the purpose of open source. It's not to have folks visit docs for traffic, revenue or community - it's to provide a 'free as in speech, not as in beer' alternative

... Qeeebo s static, curated knowledge model compares to Answers.com , Quora, and traditional Q&A platforms and why the difference matters. The internet is overflowing with places to ask questions. From community forums to social platforms to AI-powered chat tools, people have more ways than ever to seek answers. Yet paradoxically, finding clear, reliable, and fast answers has become harder not easier. Most Q&A platforms were not designed with long-term knowledge preservation in mind. They ... ... Performance can degrade as pages grow larger and more complex. And critically, the usefulness of a page often depends on the behavior of a community rather than on intentional editorial structure. Qeeebo takes a different path. A Static, Structured Alternative

... Christine, from University University. I am working on the business idea called Inbox to Insights From Overflow to Understanding. Every day, we open our inboxes and feel instantly overwhelmed. Emails, updates, and tasks all pile up and instead of helping us work smarter, they drain our time and attention. The problem is simple: we spend hours reading, sorting, and replying, but rarely see the bigger picture . Important insights, decisions, and connections are buried under noise. Inbox to Insights offers ...

... maintainable: $43k + 4 weeks Actual problem: Can't hire devs until it's fixed I see this pattern now in about 60% of AI-built projects I review. Not an AI problem - it's an architecture problem. Stack Overflow found 84% of devs use AI daily, but the velocity gap between clean and messy codebases just got massive. What's working: Clients who spend 20-30 min sketching module boundaries BEFORE vibe-coding. Just boxes and arrows. Then ... ... fill in the boxes. Architecture = human. Implementation = AI. Seen this pattern with your projects? How are you handling the architecture piece? Resources: GitClear 2025 AI Code Quality Report Stack Overflow

... missed token/component usage, accessibility issues, and typos @Pieter by @levelsio is a Windows 3.11 retro computer with working dial-up modem internet @Git Pushups wants you to stay healthy while coding Best IDE in 2025? In the 2025 Stack Overflow Developer Survey, VS

... According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS

... startup is growing. Customers love what you re building. But with growth comes a flood of emails, chat messages, and support tickets. Suddenly, your inbox is overflowing, response times are slipping, and customers are getting frustrated. Sound familiar? I ve spent 14+ years in customer support , helping startups handle high-volume inquiries, fix technical issues, and keep customers happy. I know how messy support can get, especially when you re scaling fast. But here s the thing great support doesn ... ... Your support keeps them coming back. Customers remember how they re treated fast, reliable support builds trust, increases retention, and turns happy users into raving fans. A slow response? That s all it takes to lose them to a competitor