In 2025, professional developers pair tightly with AI to ship production work: multiplayer backends arrive via Cursor and Grok in hours; Claude Code can dump ~20k LOC in a 2.5-hour run that still needs review; teams route output through guardrails like Codacy’s MCP server and terminal agents such as Gemini CLI (1M-token context, rate-limited), with editors moving to AI modes (VS Code). The working rhythm tilts to “tight-leash” AI development—load context, ask for options, draft, review docs, test, commit—with model swaps for stability (e.g., Sonnet → Gemini 2.5), error audits (Chip Huyen: “content not found” 20–30%), and repo restructuring to cut agent steps (8→7). Organizations report scale effects (claims of >⅓ code generated at Google), while leaders emphasize speed and cross-language execution (Andrew Ng). Agents also act beyond code (sending emails or automating flows), pushing teams to enforce explicit permissions, CI checks, and human review before merge.
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Is this a record @amasad @Replit? https://t.co/DrQ9viI5Vl
The best agents for software development are becoming the best agents for everything. Droids are the best software development agents in the world, reaching #1 on Terminal-Bench. We have raised $50M from NEA, Sequoia Capital, J.P. Morgan, Nvidia, Abstract Ventures, and other industry leaders including Frank Slootman, Nikesh Arora, and Aaron Levie. Today, Droids are available to anyone, with any model, in any interface: CLI, IDE, Slack, Linear, Browser.
This open-source agent is sick! Klaus Kode is an open-source, console-based workflow for building data integrations using the Claude Code SDK. Find the link to the repo in the post below. I've been building software for 30 years, and building connectors to other systems to move data in and out is as painful as it gets. It's challenging to get it right, particularly when building applications that scale and maintain high throughput. That's precisely what this project solves: 1. It will guide you step by step to understand your requirements 2. It will write the integration code 3. It will automatically test the integration 4. It will help you deploy everything This will get you to a working connector 10x faster than you would by asking a chatbot to write everything for you.
I open sourced Sniffly, a tool that analyzes Claude Code logs to help me understand my usage patterns and errors. Key learnings. 1. The biggest type of errors Claude Code made is Content Not Found (20 - 30%). It tries to find files or functions that don't exist. So I restructured my code base for discoverability, and the average number of steps Claude Code needs for each instruction went from 8 to 7 steps.
You can cut & paste your entire source code file into the query entry box on https://t.co/EqiIFyHFlo and @Grok 4 will fix it for you! This is what everyone @xAI does. Works better than Cursor.
Gemini CLI is our new #OpenSource AI agent that brings the power of Gemini directly into your terminal! Access Gemini 2.5 Pro with 1M token context window, 60 requests/min, and 1,000 requests/day—at no cost with a free Gemini Code Assist license → https://t.co/Fp0wdxfbEW https://t.co/Ul6hjn1hKQ
Write 100x better code using AI (for free!) Install the @codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: https://t.co/U32yr6Mj96 I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.
Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more: https://t.co/kbkC8CtVYb https://t.co/6y6CcM0yu1
Today, we're announcing plans to make VS Code an open source AI editor. We believe AI development should stay true to VS Code's core principles: open, collaborative, and community-driven. Let's build the future of software development together. https://t.co/C3ffio6X88 https://t.co/sZj9VJxvlE
We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation. https://t.co/HfjDdoSvIC
Introducing Claude 3.7 Sonnet: our most intelligent model to date. It's a hybrid reasoning model, producing near-instant responses or extended, step-by-step thinking. One model, two ways to think. We’re also releasing an agentic coding tool: Claude Code. https://t.co/jt7qQmFWuC