Kimi K3 Is the Next DeepSeek Event
Moonshot released Kimi K3, a 2.8 trillion parameter open weight model that beats Opus 4.8 and GPT-5.5 in several areas. It
Guides and tools for people who want results, not roadmaps.
Moonshot released Kimi K3, a 2.8 trillion parameter open weight model that beats Opus 4.8 and GPT-5.5 in several areas. It
Explores the ripple effect of AI coding on the full organizational pipeline. When code production goes from the slowest stage to the fastest, every surrounding role breaks — the PM can
Announcement of ScaleBase, a database console for Scaleway SQL (and any other Postgres you point at it). Covers why it exists, what it does, and why the company building it being European matters more than the servers being in Paris.
Vibe coding made the easy part of software development even easier. The problem is that the easy part was always only 10% of the work. Here
A practitioner
Your AI tells you to add a task. You copy the title, paste the description, drag things around. The agent already knew all of this. You're just middleware.
AI writes code faster than you can read it. The new job isn't reviewing lines. It's reviewing whether your tests actually catch what matters.
Building custom software used to cost mid-six figures. Now it takes a weekend. The companies most exposed? Pure SaaS—code as the product, nothing else. If you thought the code itself was the moat, you're standing on train tracks.
AI can’t validate a startup idea—but it can help you avoid wasting months building the wrong thing. How to use AI properly for early business validation.
That `pricing.ts` file will betray you tomorrow—prices change, models vanish, and your cost tracking turns into fiction. See how a tiny npm package can auto-update token prices while you sleep.
Chatbots talk. Workflow agents act. The breakthrough isn't smarter AI—it's giving AI the right tools, limits, and single-minded subagents to actually ship code without burning the house down.
From humanoid robots on factory floors to AI agents quietly taking your busywork—see why 2026’s biggest AI shift won’t feel like magic, just Monday.
Copreneur.ai is the AI cofounder built for solopreneurs who are overwhelmed by decisions, unfinished tasks, and forgotten goals. Unlike ChatGPT or traditional task tools, it helps you decide what to work on next, remembers long-term context, uncovers blind spots, and nudges you into action — all from one focused interface.
Figma Make is Figma’s new AI coding agent—and it might finally solve the broken design-to-code handoff. Unlike other AI tools that skip designers or developers, Figma Make embeds AI directly into the design workflow, using full context like interactions, variants, and component history to generate better code. This could be a real step toward unifying design and development.
GPT-4.5 is being called a disappointment and proof that AI progress has stalled. That reading compares the wrong things.
A practical breakdown of what actually makes DeepSeek R1 stand out, skimming the surface without the research-paper density.
The most important rule of AI developer tools is a proper static rules file. It can have a significant boost your generated code quality. Learn how to create one and get better, more reliable AI-assisted coding. Read more!
Discover why your AI developer tools, like ChatGPT, GitHub Copilot, and Cursor, may not be delivering the results you expect—and how to fix it. Learn how understanding AI models, leveraging context manipulation, and optimizing workflows can boost productivity by 5–10x. Whether you
What would it mean to have 25% more software development output with the same hours, tools, and people in your development team? This is the promise of AI developer tools and especially the skillsets to use them effectively as the tools are becoming more capable and complex as the same time. In this post, we take a look into the impact of specialist skillsets on the tools already in use.
Review of the top AI tools for developers in 2024, features, benefits, and why integrated AI editors like Cursor and Windsurf stand out. Also included are model recommendations and insights for teams looking to enhance productivity and workflows in 2025.
The use of Artificial Intelligence in business can be an overwhelming problem, not because of a lack of opportunities but because of the abundance of them. Just knowing where to start can be difficult. The Lean AI Canvas was originally created as a systematic approach for this specific problem, to serve as a framework for exploiting AI opportunities reliably and repeatably. In the next version, Lean AI Canvas 2.0, the key addition is the
We live in a world where artificial intelligence isn
Looking to enhance your business with AI but unsure where to start? Here is a process that I use with clients, boiled down to a simple canvas-like tool. It aims to offer a practical and structured approach for businesses of all sizes to identify and implement new AI opportunities effectively.
It is important to understand one thing about AI: Your AI can be hacked and currently there is nothing you can do about it. Sort of. This is not conventional hacking but rather a sophisticated manipulation of the AI. It involves techniques almost akin to social engineering, where the AI is tricked into revealing things that could contain confidential information or new attack vectors. Much like you would do to a human target in a social engineering attack.
Rumor mills are going crazy about OpenAI Q* being able to crack internet encryption. All of this is hard to follow so here is my effort to unpack what is going on.
Getting started with AI can be a daunting concept, even though you know it is something you should be looking at. The way to get started is to learn the basics, build a small AI agent to augment your teams, and most importantly, keep building and iterating. Let’s take a look at this through a simple example of building an AI agent empowering HR/team managers by automating team holiday approvals.
While the realm of Artificial Intelligence (AI) is continuously growing, what sets AutoGen apart is its ability to autonomously run high-quality workflows. It achieves this by having multiple specialized AI agents, including something akin to your personal assistant.
The Lean AI approach is akin to strategic iteration. Instead of diving headfirst into building colossal systems, the process emphasizes trying to find the possible failure points as quickly as possible by starting small, testing, and refining. By doing so, you
GPT-4 Vision (GPT-4V) is a giant leap for generalist AI, bringing image analysis capabilities to everyone, and making AI friendlier for beginners. It marries image recognition with text understanding, allowing for a richer narrative from data. In a world where businesses are in the heat of competition, GPT-4V is the gateway to gaining a real-world edge over competition.
In late July, Elon Musk showcased a live demo of Tesla