Tags: GitHub

A non‑programmer used Claude, a large‑language model, to create a web app that logs personal encounters with administrative hassles. By stitching together Supabase, GitHub and Netlify, the maker turned a vague idea into a functional dashboard that rewards users with quotes and images. The project exposed security gaps, such as an exposed API key, and highlighted how AI can lower the barrier to software creation while still demanding basic technical chores. The app now serves a small community that shares grievances about everything from phone‑tree loops to subscription traps. Read more

GitHub announced that its AI‑assisted coding tool, Copilot, will move to a usage‑based pricing model on June 1. The change follows a surge in token consumption driven by new agentic AI assistants and a pause on new plan sign‑ups. Users can preview potential charges with a new “preview bill” feature before the transition. GitHub says the shift aims to align costs with actual usage and preserve a reliable experience for all subscribers. Read more

A software developer using the handle Aloshdenny says he has reverse‑engineered Google DeepMind’s SynthID system, allowing him to strip or embed the near‑invisible watermarks that tag AI‑generated images. The open‑source method, posted on GitHub and detailed in a Medium post, relies on generating 200 pure‑black or pure‑white images with Gemini and applying signal‑processing tricks. Google disputes the claim, stating the tool cannot systematically remove SynthID and that the watermark remains robust. The back‑and‑forth highlights the ongoing tug‑of‑war over AI‑generated content attribution. Read more

Anthropic unintentionally exposed the source code for its Claude Code tool, prompting a flood of GitHub reposts. Security researchers discovered that many of the copies include hidden infostealer malware, turning a simple code leak into a broader threat. The company has issued copyright takedown notices, trimming the number of repositories from over 8,000 to under 100. The episode follows earlier attempts to lure users with fake installation guides that also delivered malicious payloads. Read more

Anthropic issued a DMCA notice to GitHub to remove a repository that contained leaked Claude Code client source code. The notice also listed nearly one hundred forks of that repository. GitHub’s automated processing interpreted the request as covering a broader network of about 8,100 similar forks, many of which were legitimate copies of Anthropic’s official public Claude Code repository. The over‑broad takedowns sparked backlash from developers, prompting Anthropic to ask GitHub to limit the removals to the specifically named URLs and to restore the other repositories. Read more

Anthropic unintentionally triggered a massive takedown of GitHub repositories while trying to remove copies of its Claude Code command‑line application source code. The company’s notice initially affected roughly 8,100 repositories, including legitimate forks of its own public repo. After recognizing the overreach, Anthropic retracted the notice, limiting it to a single repository and 96 forks. The incident has drawn criticism, raised compliance concerns ahead of a planned IPO, and sparked speculation about potential shareholder lawsuits. Read more

A recent update to Anthropic's Claude Code inadvertently released internal source files, exposing over half a million lines of code on a public GitHub repository. The leak, which was quickly patched, did not contain customer data but allowed the broader community to examine the codebase. Analysts and developers spotted flags hinting at upcoming features, including a "Proactive" mode that could act without user prompts, a crypto‑based payment system for autonomous AI transactions, and a Tamagotchi‑style virtual companion that reacts to coding activity. Anthropic attributed the incident to a packaging error and said measures are being taken to prevent recurrence. Read more

OpenAI has added plugin support to its Codex coding assistant, a move aimed at narrowing the functional gap with rival AI coding tools from Anthropic and Google. The new plugins are packaged bundles that may contain skills, app integrations, and Model Context Protocol (MCP) servers, letting users configure Codex for specific tasks with a single click. While power users could already achieve similar results through custom instructions and MCP servers, the plugin library—featuring integrations such as GitHub, Gmail, Box, Cloudflare, and Vercel—offers a more streamlined, searchable experience. Read more

Y Combinator CEO Garry Tan unveiled an open‑source Claude Code configuration called gstack, sharing it on GitHub under an MIT license. The project quickly amassed thousands of stars and forks, drawing enthusiastic support on platforms like Product Hunt. At the same time, the release provoked criticism from developers who dismissed it as merely a collection of prompts and questioned its novelty. Expert AI models, including Claude, ChatGPT and Gemini, offered largely positive assessments, describing gstack as a sophisticated prompt workflow. The mixed reaction highlights both excitement and skepticism surrounding AI‑augmented coding tools. Read more

Security researchers at Oasis uncovered a high‑severity vulnerability in the popular open‑source OpenClaw AI agent. The flaw lets a malicious website open a local WebSocket connection and brute‑force the gateway password, granting full control over the system. OpenClaw’s core gateway, which handles authentication for connected nodes, is exposed to localhost and can be compromised without any plugins or prior infection. A fix was released within 24 hours, and users are urged to upgrade to version 2026.2.25 or later. Read more

Anthropic researcher Nicholas Carlini used sixteen instances of the Claude Opus 4.6 model, organized as “agent teams,” to develop a Rust‑based C compiler from scratch. Over two weeks and nearly 2,000 Claude Code sessions, the agents produced a 100,000‑line compiler capable of building a bootable Linux 6.9 kernel for x86, ARM and RISC‑V. The open‑source project, released on GitHub, compiles major software such as PostgreSQL, SQLite, Redis, FFmpeg and QEMU, passes 99 percent of the GCC torture test suite, and even runs Doom. The experiment highlights the potential of semi‑autonomous AI coding on well‑defined tasks. Read more

GitHub has expanded its AI assistant offering by integrating Anthropic’s Claude and OpenAI’s Codex into the platform for Pro+ and Enterprise subscribers. The new agents can be invoked directly from issues, pull requests, the Agents tab, or the VS Code extension, and developers can address them with @claude, @codex or @copilot comments. Each session counts as a premium request during the public preview, and GitHub says additional agents from Google, Cognition and xAI are slated to join the lineup. Read more

GitHub has launched a public preview that brings Anthropic's Claude and OpenAI's Codex AI coding agents directly into GitHub, GitHub Mobile, and Visual Studio Code. Available to users with Copilot Pro Plus or Copilot Enterprise subscriptions, the new agents join GitHub's Agent HQ vision, allowing developers to select from Copilot, Claude, Codex, or custom agents for tasks such as issue handling and pull‑request assistance. The integration aims to reduce context switching, let developers compare agent performance, and expand the range of AI models available within the platform. Microsoft is also testing Claude Code alongside Copilot. Read more

OpenClaw, formerly known as Clawdbot and briefly as Moltbot, has settled on a new name after a trademark dispute. The open‑source AI assistant project has attracted a large GitHub following and spawned a community‑run social network where AI agents interact. While the platform’s growth has drawn attention from prominent AI researchers, its maintainers stress that security remains a top priority and that the tool is currently suited for technically experienced users. Sponsorship tiers have been introduced to support ongoing development. Read more

OpenClaw, formerly known as Clawdbot and Moltbot, is an open‑source AI assistant that integrates directly into messaging apps to automate tasks, remember conversations, and send proactive reminders. After a rapid rise in popularity, the project faced a trademark challenge from Anthropic, a wave of crypto‑related scams, and several security concerns tied to exposed deployments. Despite these setbacks, the developer has rebranded the tool as OpenClaw, addressed many of the vulnerabilities, and continues to attract interest from developers and early adopters who see it as a glimpse of what a truly personal AI assistant could become. Read more

Microsoft reported strong quarterly results, posting $81.3 billion in revenue and $38.3 billion in net income while highlighting record cloud revenue of over $50 billion. CEO Satya Nadella emphasized that the company’s massive capital expenditures—$88.2 billion last year and $72.4 billion so far this year—are aimed at expanding AI services across Azure, Microsoft 365, and partner labs. He pointed to rapid growth in Copilot products, noting a near‑three‑fold increase in daily consumer users, 4.7 million paid GitHub Copilot subscribers, and 15 million paid seats for Microsoft 365 Copilot. Nadella insisted the AI demand far exceeds data‑center capacity, underscoring confidence that the spending will translate into broader adoption and future profit. Read more

The open‑source AI assistant Moltbot, formerly known as Clawdbot, has quickly risen to prominence, earning tens of thousands of stars on GitHub within a month. Developed by Austrian programmer Peter Steinberger, the tool lets users run a personal assistant that interacts through popular messaging platforms such as WhatsApp, Telegram, Slack, Discord, and others. While users praise its proactive capabilities and compare it to cinematic AI helpers, the system requires external large‑language‑model subscriptions and poses notable security, privacy, and cost challenges. Read more

Researchers from a German research center and a Scottish university have created an artificial‑intelligence system that can analyze dinosaur footprints and suggest the most likely trackmaker. Trained on thousands of real fossils and millions of simulated tracks, the algorithm focuses on eight key foot characteristics and operates without human‑assigned labels. In tests the AI agreed with expert classifications about ninety percent of the time, offering a neutral, mathematical aid for paleontologists. The open‑source tool is available on GitHub and could expand as more scientists contribute data, potentially shedding new light on dinosaur‑bird evolution. Read more

OpenAI and Anthropic have both placed their coding CLI clients on GitHub, letting developers see the code that powers their AI‑assisted programming tools. A recent post by Bolin explains the core "agent loop" that coordinates user input, model responses, and tool calls. The loop repeatedly builds a prompt, sends it to the model, and either returns a final answer or executes a requested tool before querying the model again. The initial prompt is assembled from distinct components—system, developer, user, and assistant—each with a specific role, and includes instructions, tool definitions, sandbox settings, environment context, and the user’s message. Read more

Nvidia announced a new open‑source vision‑language model called Alpamayo‑R1 at the NeurIPS AI conference. Designed for autonomous‑driving research, the model builds on Nvidia’s Cosmos‑Reason architecture and aims to give self‑driving systems common‑sense reasoning. Nvidia also released a set of developer guides known as the Cosmos Cookbook, and made the model available on GitHub and Hugging Face. Executives highlighted the importance of physical AI for the next wave of robotics and autonomous technologies. Read more