GitHub Copilot just added Anthropic's upgraded Claude 3.5 Sonnet as a model option directly within VS Code and GitHub.com. Powered via Amazon Bedrock, the top-tier coding model is rolling out in public preview to all Copilot Chat users and organizations over the coming weeks.
GitHub just opened a preview bringing OpenAI’s o1-preview and o1-mini to GitHub Copilot and Models. Developers can now swap out GPT-4o inside VS Code’s Copilot Chat to tackle complex logic bugs and edge cases with deliberate reasoning. Why it matters: Coding assistants are moving beyond basic boilerplate autocomplete toward actual architectural problem-solving.
GitHub just launched Copilot Extensions, allowing developers to invoke third-party services like Docker, Sentry, and Azure directly inside Copilot Chat using natural language. Organizations can also build private extensions for internal APIs. Why it matters: developers can troubleshoot, manage databases, and deploy without leaving their IDE.
GitHub just launched the technical preview of Copilot Workspace, a Copilot-native developer environment designed to build software from scratch in natural language. Starting from an issue or repo, agents brainstorm, plan, and test implementation while leaving developers in full control of every step. Why it matters: Coding is shifting rapidly from managing syntax to expressing intent.
AI coding startup Augment just emerged from stealth with a massive $252M funding round at a near-unicorn $977M valuation. Backed by former Google CEO Eric Schmidt and top venture firms, the company is founded by ex-Microsoft and Google veterans aiming to fix code quality and developer burnout. Why it matters: Coding assistants are a brutal, cash-burning market, but Augment now has the runway to take a real shot at Microsoft's GitHub Copilot.
GitHub just made Copilot Enterprise generally available for $39 per user per month. The new tier hooks directly into your company's private codebase and institutional knowledge, letting developers ask questions on GitHub.com, draft pull request summaries, and browse the web via integrated Bing search. It turns AI from a simple code autocomplete tool into an org-wide engineering partner, while promising never to train models on your private repos.
GitHub just made Copilot Chat generally available for both Visual Studio Code and Visual Studio users. Powered by GPT-4, the conversational assistant lets developers explain code, spot vulnerabilities, and generate unit tests directly in the IDE—all included in existing Copilot plans at no extra charge.
GitHub just rolled out three AI-powered features for GitHub Advanced Security to help developers resolve vulnerabilities faster. Code scanning now uses LLMs to generate one-click fixes for JavaScript and TypeScript alerts right in pull requests, while secret scanning uses AI to spot unstructured leaked passwords that bypass standard rules.
GitHub just opened the public beta of Copilot Chat to all individual subscribers, expanding the feature beyond enterprise teams. Developers can now debug code, get explanations, and generate security patches directly inside VS Code and Visual Studio using plain English. It brings conversational AI coding straight into the everyday workflow of solo devs.
Microsoft's AI research team accidentally leaked 38 terabytes of private data—including secret keys, credentials, and 30,000 internal Teams messages—via an overly permissive Azure link on GitHub. Cloud security firm Wiz uncovered the slipup, which mistakenly granted full control over the storage account since 2020. Microsoft has revoked the token and upgraded its secret-scanning safeguards.
GitHub just rolled out the Copilot Chat beta to all Copilot for Business users on Visual Studio and VS Code. Instead of treating AI as a separate window, it understands your active code context and IDE error messages. Basically, it lets developers debug and generate boilerplate via natural language prompts without ever leaving their editor.
Microsoft just launched a global AI Skills Initiative alongside LinkedIn and data.org, rolling out the online learning market's first free Generative AI Professional Certificate. The push also includes an open grant challenge giving nonprofits funding, Azure cloud compute, and technical training. All coursework remains free through 2025.
Apple just banned employees from using ChatGPT and GitHub Copilot over concerns that confidential code or project data could be leaked or sucked into model training. Even with chat history turned off, OpenAI keeps conversations for 30 days. Apple now joins the likes of JPMorgan and Amazon in locking down generative AI on the job.
GitHub just unveiled Copilot X, a major vision powered by OpenAI's GPT-4 that moves AI far beyond basic code completion. It integrates a ChatGPT-style chat directly into IDEs, automatically drafts pull request descriptions, answers questions on documentation, and assists in the CLI. Basically, your AI pair programmer is stepping up to cover the full software development lifecycle.
OpenAI just recruited roughly 1,000 remote contractors in regions like Latin America and Eastern Europe, with about 40% tasked with writing step-by-step coding explanations to train its models. Rather than scraping raw GitHub code, the company is capturing human reasoning and debugging workflows. Why it matters: Teaching models human thought processes could soon automate entry-level software development entirely.
A wave of copyright lawsuits is hitting generative AI leaders like Stability AI, Midjourney, and OpenAI over web-scraped training data. Legal experts warn this is just the beginning, as untested fair-use defenses could expose businesses using AI-generated content to serious litigation risks.
Researchers affiliated with Stanford just found that engineers using AI code generators like OpenAI's Codex are more likely to introduce security vulnerabilities into their apps — and ironically, more likely to believe their insecure code is safe. The authors warn these tools are far from replacing developers, especially outside their core expertise.
Stanford researchers found that developers using AI coding tools like GitHub Copilot actually produce more security vulnerabilities, especially around string encryption and SQL injection. Worse, the AI-assisted devs were far more confident that their flawed code was secure, hiding risks beneath false comfort.
