Writer launched an autonomous “super agent” Tuesday that can independently execute complex, multi-step business tasks across hundreds of software platforms — marking a significant escalation in the corporate AI arms race.
In this video, I'll be telling you about Google AI Studio's hidden coding feature that nobody talks about - an incredibly powerful and completely free AI coder that rivals paid alternatives like Bolt, with unlimited usage and excellent React app generation capabilities.
Little-known (at least to us here in the West) Chinese startup Z.ai has introduced two new open source LLMs — GLM-4.5 and GLM-4.5-Air — casting them as go-to solutions for AI reasoning, agentic behavior, and coding.
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all while being significantly smaller and more data-efficient.
Software development company GitHub's AI-powered app-building platform Spark is now available for public preview to Copilot+ Pro subscribers. Rather than turning the natural language commands into code, Spark automatically generates an interactive preview of a user's app-in-progress, allowing them to visualize their design and make further adjustments.
VS Code is adding new AI features every day to help you write code faster and better than ever. Here are a few favorites that I have that you should go try out right now.
AI agents often struggle to make decisions by themselves, hallucinate frequently, can’t cooperate with other agents, fail at confidentiality awareness, and integrate poorly with existing systems.
A startup called Mixus wants to address that with its AI agent platform that not only keeps humans in the workflow, it also lets users interact with agents directly from their email or Slack.
Claude Code has become my preferred coding agent over the past few months. I'll walk you through the most effective workflows and powerful features of Claude Code.
The Model Context Protocol (MCP) has become one of the most talked-about developments in AI integration since its introduction by Anthropic in late 2024. Some developers think it’s the best thing ever; others are quick to point out its shortcomings. In reality, there’s some truth to both.
AI coding gets practical in this step-by-step Cursor AI tutorial. Learn how to use Cursor AI with the BMAD method to build real software. Whether you're into programming, coding, or software engineering, this guide helps you go beyond demos and work smarter.
AgentCore is a modular stack of services—available in preview—that gives developers the core infrastructure needed to move AI agents from prototype to production, including runtime, memory, identity, observability, API integration, and tools for web browsing and code execution.
Unlock the claude code workflow that powers real AI engineering. This claude code tutorial shows exactly how to use claude code, set up workflows, and master custom setups. The ultimate claude code setup guide for devs and vibe coders alike.
Amid the big news that Windsurf is being acquired by Cognition (after its founders went to Google), developers interested in AI-powered coding may be on the hunt for new alternatives.
In a bit of fortuitous timing, today also saw Amazon’s release of Kiro, a new agentic integrated development environment (IDE) built to help developers move from prototype to production using AI workflows grounded in structure, planning and engineering rigor.
Moonshot AI, the Chinese artificial intelligence startup behind the popular Kimi chatbot, released an open-source language model on Friday that directly challenges proprietary systems from OpenAI and Anthropic with particularly strong performance on coding and autonomous agent tasks.
Amazon Web Services (AWS) is launching an AI agent marketplace next week that will allow startups to directly offer their AI agents to AWS customers.
Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams.
A team of researchers from leading institutions including Shanghai Jiao Tong University and Zhejiang University has developed what they’re calling the first “memory operating system” for artificial intelligence.
It treats memory as a core computational resource that can be scheduled, shared, and evolved over time — much like how traditional operating systems manage CPU and storage resources.
Frontier AI development needs greater transparency to ensure public safety and accountability for the companies developing this powerful technology. AI is advancing rapidly. While industry, governments, academia, and others work to develop agreed-upon safety standards and comprehensive evaluation methods—a process that could take months to years—we need interim steps to ensure that very powerful AI is developed securely, responsibly, and transparently.
The 24-year-old German firm TNG Technology Consulting GmbH has released DeepSeek-TNG R1T2 Chimera, the latest model in its Chimera large language model (LLM) family. R1T2 delivers a notable boost in efficiency and speed, scoring at upwards of 90% of R1-0528’s intelligence benchmark scores, while generating answers with less than 40% of R1-0528’s output token count.
The honeymoon phase for vibe coding is over and context engineering is the new paradigm for AI coding. Earlier this year we all fell for the vibe coding but it completely falls apart when you try to build anything real or scale it up. The biggest problem? AI coding assistants miss context or lack it entirely, and intuition doesn't scale - structure does.
Context engineering treats your instructions, rules, and documentation as an engineered resource requiring careful architecture, just like everything else in real software. It's not just prompt engineering - it's supplying all the relevant facts, knowledge, rules, plans, and tools so an LLM can actually accomplish the task at hand.
Buildship enables you to create advanced, logic-driven workflows for your AI agents. In this post, we'll explore how BuildShip and MongoDB work together to create truly powerful AI agent tools that go beyond basic API calls.
LM Studio 0.3.17 introduces Model Context Protocol (MCP) support, allowing you to connect your favorite MCP servers to the app and use them with local models.