Learn how to run powerful AI models locally on your computer for FREE - achieving 80% of ChatGPT's capabilities without sending any data to external servers. Perfect for companies with privacy restrictions or anyone wanting to save on AI subscription costs.
AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools are not magic and can complicate rather than simplify a software project. Understanding how they work under the hood can help developers know when (and if) to use them, while avoiding common pitfalls.
The 6 best MCP servers of 2025 that changed how I approach AI coding. From pulling live documentation into Claude Code and Cursor AI, to managing databases with natural language—these tools transformed my entire development workflow.
In this video, we dive deep into GLM-4.7’s capabilities, showing how it crushes coding benchmarks, handles complex reasoning, and calls tools like a pro. From agentic coding to creative outputs, we put this model through its paces and see if it really deserves the SOTA crown!
Unlike general-purpose chatbots, FunctionGemma is engineered for a single, critical utility—translating natural language user commands into structured code that apps and devices can actually execute, all without connecting to the cloud.
Google’s vibe-coding tool, Opal, is making its way to Gemini. The company said it is integrating the tool, which lets you build AI-powered mini apps, inside the Gemini web app, allowing users to create their own custom apps, which Google calls Gems.
Gemini 3 Flash, now available on Gemini Enterprise, Google Antigravity, Gemini CLI, AI Studio, and on preview in Vertex AI, processes information in near real-time and helps build quick, responsive agentic applications.
In this video, we look at the new interactions API from the Gemini API team, and how you can use it to build and do various tasks with not only Gemini models but also agents.
To build the Nemotron 3 models, Nvidia said it leaned into a hybrid mixture-of-experts (MoE) architecture to improve scalability and efficiency. By using this architecture, Nvidia said in a press release that its new models also offer enterprises more openness and performance when building multi-agent autonomous systems.
Understanding context windows is the key skill that separates developers who get great results from coding agents versus those who struggle. Includes real examples and best practices for maintaining lean, focused contexts that maximize AI coding performance.
The rumors were true: OpenAI on Thursday announced the release of its new frontier large language model (LLM) family, GPT-5.2.
OpenAI describes GPT-5.2 as its "most capable model series yet for professional knowledge work," aiming to reclaim the performance crown with significant gains in reasoning, coding, and agentic workflows.
70% of my success happens before I write a single line of code. Here's the four-phase system I use to ship software with AI—Define, Refine, Multiply, Expand—and why most people skip the part that matters most.
Just days after releasing its powerful open source, general purpose Mistral 3 LLM family for edge devices and local hardware, the company returned today to debut Devstral 2.
The release includes a new pair of models optimized for software engineering tasks — again, with one small enough to run on a single laptop, offline and privately — alongside Mistral Vibe, a command-line interface (CLI) agent designed to allow developers to call the models up directly within their terminal environments.
Anthropic is launching Claude Code in Slack, allowing developers to delegate coding tasks directly from chat threads. The beta feature, available Monday as a research preview, builds on Anthropic’s existing Slack integration by adding full workflow automation. The rollout signals that the next frontier in coding assistants isn’t the model; it’s the workflow.
A year after publishing its Titans paper, Google has formally detailed the architecture on its research blog, pairing it with a new framework called MIRAS. Both projects target a major frontier in AI: models that keep learning during use and maintain a functional long-term memory instead of remaining static after pretraining.
The future of AI coding is changing fast, and this video breaks down exactly why. With Docker’s new dynamic approach to the Model Context Protocol (MCP), agents can finally use tools the way they were meant to—lightweight, efficient, and fully autonomous. Instead of bloating your context window with hundreds of unused tools, dynamic MCP lets your agent load only what it needs, when it needs it.
Mistral AI, Europe's most prominent artificial intelligence startup, is releasing its most ambitious product suite to date: a family of 10 open-source models designed to run everywhere from smartphones and autonomous drones to enterprise cloud systems, marking a major escalation in the company's challenge to both U.S. tech giants and surging Chinese competitors.
Amazon Web Services is rolling out a slate of new homegrown AI models and a service for enterprise customers to build their own custom versions. The cloud provider launched Nova 2, a fleet of four new AI models to its Nova model family, during AWS CEO Matt Garman’s AWS re:Invent keynote on Tuesday.
Alongside the model upgrades, AWS also announced a new service called Nova Forge which allows AWS cloud customers to build their own frontier version of AWS Nova models called Novellas for $100,000 a year.
Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini-3.0-Pro — a development that could reshape the competitive landscape between American tech giants and their Chinese challengers.
Learn to integrate over 300 AI models into apps without API keys, using Replit. This tutorial shows step-by-step app creation, including UI design iteration and AI model selection. Discover how to leverage Replit's AI integrations and connectors for seamless app development.
