AI Coding

ManyAgents is a Mac tool for running and coordinating a team of AI coding agents from a single window, aimed at developers who juggle multiple parallel agent tasks. It is currently listed on Product Hunt with a discussion thread and product link.

Cognition released the Devin Vulnerability Fixes plugin, a free, MIT-licensed set of three agent skills that inventory, approve, patch and test PHP, Node.js and self-managed GitLab deployments affected by three critical RCE advisories, then open one pull request per repository. The skills run in Devin and any coding agent that reads SKILL.md files, and encode the remediation workflow Cognition used internally.

This tutorial demonstrates how to build a stateful engineering copilot with Letta, showing that agentic memory can go beyond conventional prompt-based conversations. It covers inspectable core memory blocks that the agent can update autonomously, shared state across multiple agents, archival vector memory for semantic retrieval, a custom server-side tool for deterministic risk estimation, streaming to observe agent execution, server-side message history for persistent conversations, and .af export for portability.

Databricks shares how it tackled exponentially growing AI costs after going all-in on AI coding agents. By shifting to cheaper models, routing tasks, increasing spend visibility, and reducing token overhead, unit costs dropped by up to 90%. The internal solution became Unity Gateway.

AI Bridge is a product that aims to organize multiple AI coding agents on your Mac, putting each in its place.

Cloudflare is going all-out to ensure that AI coding agents can check their work without exhausting available computing resources, leading The post “We are not forking TypeScript”: Cloudflare spearheads Rust port written by agents, for agents appeared first on The New Stack.

Three Java Champions share how they use GitHub Copilot to solve problems, accelerate development, and keep humans responsible for the results. The post How 3 Java Champions are using GitHub Copilot for increased productivity appeared first on The GitHub Blog.

Learn how to move an agent session from the GitHub Copilot app into VS Code without losing the conversation, code changes, or working context. The post How to continue a GitHub Copilot app session in VS Code appeared first on The GitHub Blog.

This summer, I built a small experiment called ContextCue. The idea came from something I kept seeing during my internship. The engineers around me were using AI everywhere in the software development process. GitHub Copilot and Claude models helped with specs, code, reviews, and tests. The team also maintained reusable skills that taught coding agents […]

An AI coding agent can write a function in seconds. But a working feature takes more than generated code. The agent needs to understand the project, find the right files, use tools safely, and check whether its changes work. A model on its own does none of that. It sees only the text it is […] The post A Practical Guide to Harness Engineering: Building the System Around the Model appeared first on Analytics Vidhya.

Research: sparqlite: SPARQL 1.1 inside SQLite, written in Rust This research task is really an experiment in running Claude Code for web in "Ultracode" mode, as described in Orchestrate subagents at scale with dynamic workflows in the Claude Code documentation. With Ultracode turned on, Claude Code makes aggressive use of dynamic workflows - it generates JavaScript that defines and coordinates a network of subagents to take on complex problems. My initial prompt was this - I meant "hit the rows directly", the word "delete" was an accidental typo on my phone: Write a SQLite extension in Rust that implants SPARQL and runs really fast because it can hit the delete rows directly This caused Claude Code for web to churn for over 12 hours. I checked in on its progress the next day and sent a si…

Bluesky's Attie AI tool, which initially launched earlier this year as a way to use AI to build your own feeds, now lets you make "small" social apps like games, polls, and dashboards that you can then share with others as their own websites. In an interview at TechCrunch Disrupt, Bluesky CEO Toni Schneider said to think of Attie as "social vibe coding or vibe coding for your community." You can make your own Attie app by typing in a prompt. A simple poll I made about Pokémon Red and Pokémon Blue took a few minutes to generate. If you want to check out something more full-featured, the Attie website currently highlights a few examples l … Read the full story at The Verge.

Introduction Teams shipping AI agents at scale keep running into the same pattern. Even agents built on top-tier models like Fable and Astra struggle to carry out complex, end-to-end tasks inside a specific product consistently enough to deploy. So teams grind out evals for the workflows that matter most, often hundreds or thousands of hand-written […] The post CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data appeared first on MarkTechPost.

Gemini 4 Argon went GA today, but we already gave it title story 2 weeks ago and most benchmarks, like CursorBench, simply independently confirm their claims.

Elon Musk’s mission to unify his sprawling tech empire continues apace, with the news that X, Grok, and Cursor are The post The X Subscription bundles Cursor with Grok and X Premium. But Claude now costs extra. appeared first on The New Stack.

In my previous Radar article, “Architectural Guardrails for AI-Generated Code,” I argued that AI coding agents need a layer that can hold architectural decisions in a structured corpus, retrieve the relevant ones, put them into the agent’s context before it writes code, and enforce explicit constraints with reproducible checks. Testing that model exposed two distinctions […]

Learn how to add custom instructions and skills to your repository, use custom agents, and connect MCP servers like Playwright. The post GitHub Copilot app for Beginners: How to teach Copilot about your codebase appeared first on The GitHub Blog.

My Decoder guest today is Hayden Field, The Verge’s senior AI reporter, and we’re discussing the new wave of consumer-friendly AI agents. If you’ve been paying attention to this space, you know AI enthusiasts have been using agents for a minute now — homebrew OpenClaw setups led to a surge in Mac Mini sales earlier this year. But the launch of Meta’s Muse, OpenAI’s Dots, and xAI’s Grok bot has brought easy to use agents to millions. Muse and Dots have had the highest-profile product launches, and they’re fascinating to pit against each other. Both Meta and OpenAI have decided to pitch these agents to mainstream users and businesses in the form of cute, animated mascots. Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. N…

I've always been kind of into computers since I was young. And then when film started to move from analog film to digital, I became more interested in that aspect of it. And the visual effects workflow for many years has included machine learning. So I can write like pretty shitty Python scripts and stuff like that because with convolutional neural networks, which were the sort of precursors to what the transformer can do, which is just much more computation simultaneously, you would do things like look at what's called a tensor, which is just the numerical translation of a visual image in numbers — like the batch number, the frame number, the red, green, and blue values of each pixel in each frame. And a tensor, you use a convolutional neural network to identify patterns in that that wou…

At today's Windows and Surface event, Microsoft showed off an upgrade to its Copilot AI system that will give it access to local files on your PC and the ability to take actions across the OS. It's part of an idea Microsoft is calling "Hybrid Intelligence," where apps and tools rely on a mix of local and cloud AI models to accomplish tasks efficiently. To show off how Hybrid Intelligence works, Jacob Andreou, Microsoft's EVP of Copilot, walked through a video demo on stage asking Microsoft's Autopilot tool to help with filing taxes. Andreou told the AI agent that he got an email from his accountant and asked Autopilot to get her what she … Read the full story at The Verge.

Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind human approval. This gives us a practical way to test Claude Fable 5.1 as […] The post Building an Enterprise AI Customer Support Platform with Claude Fable 5.1 and Claude Code appeared first on Analytics Vidhya.

The revamp transforms Copilot from a simple AI assistant into a content workspace, providing knowledge workers with advanced developer tools.

Today, I’m talking with Mike Cannon-Brookes, who is cofounder and CEO of Atlassian. Atlassian is one of those companies that every other company runs on — it makes important platform tools like Jira and Trello that allow people to organize and manage big teams, create shared databases of company information, and generally allow work to happen. As you’ll hear Mike say, all of Atlassian’s products are actually different expressions of a single core platform, which really shapes how Atlassian itself is structured and how those products are built. All of this means Atlassian is also right in the middle of the way AI is changing how all these companies work — AI tools might be able to look at all the different tools and systems you have and just read them for you, making a big migration to Atl…

We read the contracts behind GitHub Copilot, AWS Kiro, Cursor, Devin and Windsurf. Copilot and Kiro offer uncapped indemnity on generated code. Cognition's standard terms exclude outputs entirely. Here is how 500 seats compare on legal exposure, prompt storage, audit logs and true cost. The post AI Coding Agents for Enterprise: IP Indemnity, Data Residency and 500-Seat Cost Compared appeared first on MarkTechPost.

Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog.

Misconfiguring Turnstile by skipping backend validation leaves sites exposed to bots. Turnstile Spin fixes incomplete setups by using your preferred AI coding agent to wire up server-side verification.

After teasing its new Copilot "super app" last month, Microsoft is officially unveiling it today. The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and agents. As part of the launch, Microsoft is also rebranding Scout, the AI personal assistant it unveiled at Build earlier this year, as Autopilot. This new Copilot app will have three tabs for Home, Code, and Autopilot, with Home combining Copilot Chat and Cowork together. It's the default landing experience for Copilot users, and Microsoft is also planning to include a Today feature inside it that works as personalized dashboard for important … Read the full story at The Verge.

The neocloud vendor provides AI agents with access to data from its infrastructure management platform, helping developers troubleshoot slow or underperforming AI workloads.

We all know that producing code is easier than ever thanks to the abundance of AI coding tools and agents. The post Cursor acquired Firetiger. A month later, Cursor launched a bot that tracks code changes through to production. appeared first on The New Stack.

How we rebuilt the diff surface in the GitHub Copilot app to open a million-line pull request with hundreds of inline review comments. The post Rendering huge pull requests in the GitHub Copilot app appeared first on The GitHub Blog.

Pair OpenCode, an open-source terminal-native AI coding agent, with open weight models on Amazon Bedrock to get a secure, flexible, pay-per-use coding assistant. Learn how to configure multi-model workflows, match the right model to each task, and keep your data in your own AWS account with no infrastructure to manage.

Databricks' Genie One MCP exposes the governed context of Genie Ontology to any MCP-compatible assistant, including ChatGPT, Claude, Microsoft Copilot, and coding agents, so they can answer business questions using approved definitions, trusted data relationships, and permission-aware access controls.

Liberal MP speaks of AI’s shortcomings as cyber chief tells inquiry the tech is needed to fend off ‘highly capable malicious cyber actors’ Get our new political email, free app or daily news podcast When a man with a terminal illness wrote to his local MP Andrew Hastie, telling him he planned on ending his own life with voluntary assisted dying, Microsoft Copilot suggested Hastie reply with “congratulations!”, “great to hear from you” or “that is wonderful news!”. Hastie shared the episode at a parliamentary inquiry on Friday to underline the shortcomings of the American-run software as he called for AI run by Australians. Continue reading...

Building an AI prototype is easy, but operating autonomous agents at scale requires production-grade tooling. Salesforce Agentforce bridges the gap from "vibe coding" to enterprise reliability by combining synthetic stress-testing, real-time optimization, dynamic agentic UIs, and deterministic guardrails—as proven by Southwest Airlines' 7x ROI. The post Salesforce Agentforce: Bridging the Enterprise AI Gap from ‘Vibe Coding’ to Battle-Tested Orchestration appeared first on MarkTechPost.

A rewrite this size wasn't affordable before agents. Here's what porting the Copilot agent runtime to 800,000 lines of production Rust actually took. The post Migrating the GitHub Copilot runtime to Rust, using Copilot appeared first on The GitHub Blog.

arXiv:2609.16346v1 Announce Type: new Abstract: This paper presents Auto-HSI, a method for generating personalized human-swarm interaction (HSI) interfaces on demand. The objective is to enable untrained operators to use natural language descriptions and gesture demonstrations to explain how they want the robots to collectively behave in response to their gestures. Based on these inputs, the code should automatically be generated for personalized state machines that will control the robots as desired, in response to the desired gesture inputs. In the developed Auto-HSI prototype, the generated code produces a personalized interface for centralized control using one- and two-handed gestures, enabling a user to teleoperate the robots' motion, formation shape, and shape deformation. We test…

On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip. Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second. Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6x when compared to Nvidia’s GB300—a chip the company currently relies on—and do so while consuming less power. Whether these figures translate into real-world gains once Jalapeño enters widespread service in OpenAI’s inference fleet remains to be seen, but performance is only half the story. The other half is how the chip was designed—a process which, as you might expect, was accelerated by OpenAI’s large…

Cognition, the company behind the Devin coding agent, has released SWE-2, its most capable coding model to date. SWE-2 is post-trained with reinforcement learning from Kimi K3, Moonshot AI’s 2.8T-parameter open model. Cognition reports a score of 50.0% on FrontierCode 1.1 Main, within 1 point of Fable 5.1 at 64% lower cost. It is also […] The post Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost appeared first on MarkTechPost.

GPT‑6 Astra improves Devin’s ability to test software and show that it works, with the goal of helping engineers review less code and ship more.

Discussion | Link

Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app. The post GitHub Copilot app for Beginners: Using the diff, terminal, and browser appeared first on The GitHub Blog.

Google has open-sourced Mantis, a stack-agnostic toolkit of security review skills for AI coding agents. It runs the full vulnerability lifecycle: sweep the code, filter false positives, reproduce the bug in a sandbox, patch it, re-attack the patch, then score the risk. Apache 2.0, and documented as demonstration-only. The post Google Open-Sources Mantis: A Modular Skills Toolkit That Lets Coding Agents Find, Reproduce and Patch Vulnerabilities appeared first on MarkTechPost.

AI models now power all manner of agents, from coding assistants that write and debug software to customer service systems The post Claude did best on a new benchmark for agents that build agents. It still passed fewer than a quarter of the tests. appeared first on The New Stack.

This article presents five no-cost ways to access AI coding agents and models: free model access through OpenCode Zen, OpenAI Codex on the ChatGPT free plan, Kilo Code's Auto Free routing, OpenRouter's free model API, and Google Antigravity's $0 individual plan.

Catenary is a spatial canvas IDE for AI coding agents, presenting a visual, canvas-based workspace for code and AI-driven development. It is currently listed on Product Hunt with a discussion thread and link.

Project HydraFusion is a research preview from GitHub that reframes model selection as an optimization problem. Instead of picking one model, it dynamically chooses a workflow for each request — drafting, critiquing, or escalating across models from multiple providers. Currently available in GitHub Copilot CLI only, it bills per token at each model's standard rate.

GitHub is introducing Project HydraFusion, a research preview in GitHub Copilot that automatically orchestrates models from multiple providers—using single, cascade, or critique workflows—to balance quality, cost, and latency for each coding task. In offline agentic benchmark evaluations, HydraFusion matched or exceeded the Claude Opus 5 baseline on verified quality while cutting estimated workflow cost by 36–67%.

Coder has launched Coder Agent Relay with SpaceXAI as its launch partner, allowing regulated enterprises to run coding-agent tools in self-hosted Coder workspaces while Cursor handles inference and planning in the cloud. Coder CEO Rob Whiteley says the real issue isn't raw token spend but uneven adoption, and that deployment architecture often leads security teams to block Cursor outright.

Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful.

GitHub shares how GitHub Copilot reduces AI coding cost by optimizing the completed task rather than individual tool calls. Four improvements—selectively compressing noisy output, removing unused line numbers, behavior-tested prompt compression, and batched background-result delivery—cut inference cost, prompt tokens, or AI Credits by roughly 1–5 percent without material quality regressions.