Showing 148–168 of 1483 posts
While designers debate AI's role, Anthropic just released a tool that turns code repositories into live, interactive prototypes. But the real power isn't in the UI—it's a hidden workflow that most users will completely miss.
For years, scaling MCP servers meant wrestling with sticky sessions and shared state, adding complexity and cost. A groundbreaking update just ripped it all out, making MCP simpler, cheaper, and more powerful than ever before.
For years, TypeScript's power was shackled to JavaScript's performance limits. Now, a new breed of native compilers is setting it free, unlocking possibilities developers never thought possible.
OpenAI's next model, Astra, isn't just another upgrade—it's a system so advanced in mathematics and cyber offense that the company paused development. This isn't about benchmarks anymore; it's about managing a fundamentally new class of intelligence.
Closed AI video models have dominated marketing, locking creators into expensive, walled gardens. But a new open-weight contender is rewriting the rules for commercial-grade content without breaking the bank.
A new open-weight AI just completed a 10-day coding marathon, building a complex app from nothing. This isn't just another chatbot; it's a direct challenge to the closed-source giants and a glimpse into a future of autonomous developers.
Your custom AI agent is built on a foundation of decaying knowledge, making it less reliable every day. This isn't just a minor bug; it's a fundamental flaw that most users completely miss.
Frontier AI models are now autonomously hacking corporate networks in controlled tests. But the real threat isn't a rogue AI—it's what these incidents reveal about decades of human error.
For two decades, Google Search felt invincible. But a new class of AI competitors isn't just stealing market share—they're rewriting the rules of the internet.
Most influencer outreach is a dead end, wasting thousands in potential revenue. But one founder's counterintuitive approach turned cold DMs into a powerful growth engine by ignoring conventional wisdom.
Everyone is building AI tools, but the real money is in solving problems nobody sees. Most entrepreneurs are selling the technology, which is precisely why they're failing.
Most tech conferences are a blur of passive keynotes and sales pitches. But AWS re:Invent has a secret formula that makes it the one event cloud professionals can't afford to miss.
For years, developers have joked about using Postgres for everything. With native graph queries and atomic operations in version 19, that joke is rapidly becoming a production-ready reality.
Claude's creator says to delete your entire AI layer every six months. But following this advice blindly could be the most expensive mistake you make this year.
We chase the next big thing, fueled by manufactured excitement. But this relentless cycle of hype isn't just tiring—it's actively destroying product quality and punishing real innovation.
This new AI video model can generate 30-second cinematic shots, but that’s not the real story. A creator used it to produce a neo-noir short film with just three reference images, revealing a shockingly efficient new workflow.
Most businesses are still stuck on basic automation, blind to the revolution happening underneath. The winners are deploying autonomous AI agents that don't just complete tasks—they run the entire growth playbook.
Most users are only scratching the surface of what's possible with advanced AI assistants. You're leaving massive productivity gains on the table by treating it like a simple chatbot.
You think you're just hustling, but you're actually sabotaging the one thing that matters. An entrepreneur's two-year struggle reveals a hard truth about the real price of ambition and love.
Massive pull requests are the silent killer of team velocity and code quality. GitHub's biggest release in years finally offers a native solution, but it requires a new way of thinking about your workflow.
OpenAI's new model just solved 10 major math problems, but the real story isn't the answers it found. It's the revolutionary, self-verifying method it used—and what that means for the future of complex problem-solving.
