All articles tagged with ai
Hit 40k reads, got featured on Dev.to's top 7, then ChatGPT dropped and I ghosted my own career. Spent 12 months asking if technical writing even matters anymore. Spoiler: it does, and here's why I'm back.
A three-year-old and Claude built nine games together at madladstudios.com. Now there's a tool that generates AI prompts so you can do the same. No coding required, just copy-paste into ChatGPT and ship something your toddler actually wants to play.
Match Group's Chemistry feature promises better matches by scanning your photos. What it delivers is surveillance capitalism dressed up as matchmaking, with your most intimate data as the price of admission. The dating app industry's privacy record suggests this will not end well.
Q1 2026 just ended and the AI industry is having its "oh shit" moment. DeepSeek trained a GPT-5-class model for under $6M while Big Tech extended GPU depreciation schedules to hide a $505B CapEx time bomb. Turns out infinite money wasn't actually infinite.
Most devs are using AI to ship code 10% faster. Meanwhile, solo developers are building SaaS that previously needed entire teams. The AI economy isn't about productivity, it's about leverage. Here's what's actually changing.
The shift from autocomplete to autonomous agents isn't just faster coding. It's path dependency in action: once the industry crosses each threshold, the cost of going back exceeds moving forward. Here's the technical breakdown of where we are and the hard problems blocking what comes next.
Cloudflare rebuilt Next.js using AI in seven days (for $1,100). React and React Native moved to the Linux Foundation with proper governance. Hermes is coming to Node.js as a V8 alternative. Meanwhile, CSS Grid is landing in React Native and TanStack Router has an early native PoC. This week was unhinged.
Q1 2026 just closed and the AI industry's dirty secret is out: $505B in CapEx, 90% cheaper tokens, and creative accounting that would make Enron blush. If you're building on LLM APIs without serious value-add, your startup's about to get commodified into oblivion.
Goldman's 2026 AI memo isn't about innovation. It's a cost-cutting playbook dressed up as progress. When companies fire engineers to fund LLM subscriptions, they're not creating value. They're just moving payroll budgets to cloud providers while destroying institutional knowledge and compliance infrastructure.
Sockpuppetting hits 97% attack success on Qwen3-8B by prepending "Sure, here's how to..." to the model's output. No gradients, no optimization, just one line of inference code that outperforms GCG by 80 percentage points. The implications for self-hosted LLM deployments are wild.
97% adoption. Majority AI-generated code. Junior roles vanishing. This isn't incremental change, it's structural collapse of how we've built software for decades. Here's what actually changed and what it means for your job in 2026.
The Goldman Sachs memo wasn't a one-off. It's the playbook: overhire during boom times, then use AI as cover for mass layoffs. Executives are confusing cost-cutting with innovation, and developers are paying the price. Here's why this strategy is destined to collapse.