Cryptographic code supports vital protections in modern computing systems.... Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves.show more

What does SRE mean for developers? Reliability Advocate Steve... McGhee explains how it helps bridge the gap between writing code and running it reliably in production →show more

Introducing the next evolution of completions in GitHub Copilot:... Next Edit Suggestions (preview). Most coding activity involves editing existing code as much as it does writing new lines. It's a natural next step for completions to work on existing code as well. Available today in VS Code. Learn more:show more

👋 Meet Duet AI for Developers! Start writing code... at the speed of thought with #AI code completion, code generation, and a chatbot where you can ask any code-related questions in natural language. ✨ Try it today at no cost →show more

$PLTR is currently on a path to $20T valuation,... as it continues to produce verticalized operating systems like Warp Speed and eventually, evolves into a NETWORK of digital twins.show more

Feed your todos right into Cursor as markdown and... it will write the code for you. The future is letting AI do the work for you while you guide it.show more

Spark is starting to become real. A self-evolving intelligence,... beyond a persistent memory, with multiple ways it learns and evolves Calibrate the intelligence while building, talking to it, sharing the things you love as content, UI, art, etc., While it learns constantly learns about the tools you use: Their strengths, shortcomings, and how to better use everything in its arsenal, as well as doing the same with the specialized agents and teams it orchestrates. In a few days, it gathered 30000 memories and 500+ insights, and continued to calibrate itself with me, which will speed up how we can vibe code the next projects by Spark doing at evolved understandings. Super excited to see how it evolves and can't wait to bring it to everyone. Already integrated it with many IDEs and LLMs. It also works on your local machine. As this conversation was recorded with Ollama qwen 2.5 running on my PC.show more

After reaching AI-native terminal velocity we are swamped in... code review. The core insight is that as long as you can write code in parallel you will continue to be stuck until you can review it in parallel. I was surprised by how quickly this became my daily driver for not just review code, but writing it as well.show more

the fbi director and acting attorney general were invited... to give a talk on code as speech. the developers who wrote the code are in prison. #freesamouraishow more

LeetCode is dead. Developers don't write code line-by-line anymore.... They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:show more

New short course: Collaborative Writing and Coding with OpenAI... Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:show more

New short course: Building Code Agents with Hugging Face... smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!show more

“Math is code. And code is math.” Carina Hong... CEO Axiom on why that idea matters for AI: “For centuries, mathematicians reasoned in natural language. But because of the Curry–Howard correspondence, a proof can also be a program.” “You can translate natural-language math into formal code using systems like Lean. Lean is both a theorem-proving language and a programming language.” “That means you can generate solutions as code and then formally verify them. You can even use the same system to verify programs themselves.” “This creates a flywheel of generation and verification, where AI can both write solutions and prove that they’re correct.”show more

Head of Claude Code, Boris Cherny: "You're not supposed... to write code anymore. You're supposed to build a graph that writes itself." In 30 minutes he breaks down how engineers at Anthropic build graphs that write the code, catch the bugs, and ships. The missing piece most developers skip: how to wire those agents into a graph that runs, verifies, and improves without you. Watch it, then read the full guide on graph engineering below.show more

You write frontend code. You write backend code. Wasp... lets you write a third kind: full-stack code. Pages, routes, auth, jobs, and more, all defined in a single spec that ties your whole app together. And as of today, it's 100% TypeScript. 🟦 Introducing the Wasp TS Spec. 🐝👇show more

Claude Code UI is now available in VSCode via... CodeGPT extension! 🙌 You can now run Claude Code directly in your editor and control the planning process. You can pause it, edit tasks, or add new ones while Claude is working. This helps keep Claude on track and makes it way more effective since you can adjust things as it goes. Setup: - Download the extensión - Click the Claude Code OAuth - Authorize the extension - Paste your account code to link Claude Code directly - Done ✅ Works on VSCode and JetBrains editors (Android Studio, IntelliJ, PyCharm, etc.) VSCode : Jetbrains:show more

👀 Ever want a second set of eyes on... your code? GitHub Copilot code review can help! Available in preview, Copilot code review offers fast, AI-powered feedback on your code as you write it. You can quickly apply any feedback that Copilot suggests, directly in the editor.show more

✂️ Introducing: Shortest! Shortest is an open-source AI-powered testing... framework that allows developers to write end-to-end tests in plain English, as simple as: shortest(“user can sign up and create a $5 product”) More tests = fewer regressions as AI writes and ships code.show more

how it feels to write smut as a virgin... and nonwritershow more

Reviewing AI-generated code is the new bottleneck. Writing code... was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.show more