AWS sparks outrage among developers as it hikes the pricing for its AI-powered coding assistant Kiro, with the new plans costing substantially more than initially promised, leading to backlash over the 'wallet-wrecking' changes.
GitHub Copilot introduces multiple AI models tailored for diverse coding needs, allowing users to choose the best model based on task requirements, balancing speed, accuracy, and cost efficiency for general coding, deep reasoning, fast responses, or working with visuals.
Anthropic boosts Claude AI's coding abilities by expanding its memory to 1 million tokens, enabling it to handle requests up to 750,000 words or 75,000 lines of code while charging higher rates for prompts over 200,000 tokens.
In a major tech industry shakeup, Microsoft acquires the once-independent coding platform GitHub as its CEO resigns, folding the popular programming site into Microsoft's 'CoreAI' team and raising questions about its future direction under the tech giant's control.
GitHub CEO Thomas Dohmke resigns, and Microsoft, the parent company, restructures leadership by eliminating the CEO role, with GitHub's leadership now reporting directly to various Microsoft executives.
Anthropic's Claude Opus 4.1, a powerful language model, joins the GitHub Copilot lineup, offering enhanced AI assistance for developers on Copilot Enterprise and Pro+ plans, pending administrator approval.
Depot unveils Claude Code sessions, enabling developers to save, share, and resume AI-powered coding sessions across teams and environments, fostering seamless collaboration between humans and AI agents through the 'depot claude' CLI command.
In a major shift, Anthropic overtakes OpenAI with 32% enterprise market share as code generation emerges as AI's killer app, while open-source adoption stalls at 13% due to performance gaps, and enterprises rapidly upgrade to frontier models for performance gains over cost savings.
Docker unveils the MCP Catalog and Toolkit, a centralized registry of over 100 verified containerized AI tools, streamlining discovery, secure execution, and integration of MCP servers for AI developers from Docker Desktop.
AI tools like Cursor initially slow down developers by 19% as they adapt, but experienced users see major productivity boosts after overcoming the learning curve, despite overestimating AI's impact initially.