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QConSF 2025 - Developing Claude Code at Anthropic at AI Speed
At QCon San Francisco 2025, Adam Wolff showcased Claude Code at Anthropic, where AI powers 90% of production code. With a focus on speed over planning, Claude Code's design evolved through experimentation, addressing challenges like Unicode issues and shell command bottlenecks. Discover successful iterations and lessons learned in real-time software development.
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Anthropic Finds LLMs Can Be Poisoned Using Small Number of Documents
Anthropic's Alignment Science team released a study on poisoning attacks on LLM training. The experiments covered a range of model sizes and datasets, and found that only 250 malicious examples in pre-training data were needed to create a "backdoor" vulnerability. Anthropic concludes that these attacks actually become easier as models scale up.
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GitHub Expands Copilot Ecosystem with AgentHQ
GitHub has announced AgentHQ, a new addition to its platform that aims to unify the fragmented landscape of AI tools within the software development process.
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Cursor 2.0 Expands Composer Capabilities for Context-Aware Development
Cursor has launched version 2.0 of its AI-driven code editor, featuring Composer, a new model that enables developers to write and modify code through natural language interaction.
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Anthropic Expands Claude Code to Web and Mobile Platforms
Anthropic has expanded the availability of Claude Code, its AI-powered development environment, bringing it to the web and mobile platforms.
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Anthropic Introduces Skills for Custom Claude Tasks
Anthropic has unveiled a new feature called Skills, designed to let developers extend Claude with modular, reusable task components.
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Claude Sonnet 4.5 Tops SWE-Bench Verified, Extends Coding Focus beyond 30 Hours
Anthropic's Claude Sonnet 4.5, its most advanced coding model, excels in task performance and safety, achieving a 98.7% safety score and improving real-world coding capabilities. Enhanced reasoning skills allow for sustained multi-step tasks, with notable user gains reported. This drop-in replacement demonstrates a powerful balance of capability and security for users.
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Claude Sonnet 4.5 Ranked Safest LLM from Open-Source Audit Tool Petri
Claude Sonnet 4.5 has emerged as the best-performing model in ‘risky tasks’, narrowly edging out GPT-5 in early evaluations by Petri --- Anthropic’s new open-source AI auditing tool.
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xAI Releases Grok 4 Fast with Lower Cost Reasoning Model
xAI has introduced Grok 4 Fast, a new reasoning model designed for efficiency and lower cost.
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Kaggle Introduces Game Arena to Benchmark AI Models in Strategic Games
Kaggle, in collaboration with Google DeepMind, has introduced Kaggle Game Arena, a platform designed to evaluate artificial intelligence models by testing their performance in strategy-based games.
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Vercel Introduces AI Gateway for Multi-Model Integration
Vercel has rolled out the AI Gateway for production workloads. The service provides a single API endpoint for accessing a wide range of large language and generative models, aiming to simplify integration and management for developers.
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xAI Releases Grok Code Fast 1, a New Model for Agentic Coding
xAI introduced grok-code-fast-1, a model developed specifically for agentic coding workflows.
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DeepSeek Releases v3.1 Model with Hybrid Reasoning Architecture
DeepSeek has released version V3.1 of its large language model, introducing a hybrid architecture that combines thinking and non-thinking modes in a single system.
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Anthropic’s Claude Opus 4.1 Improves Refactoring and Safety, Scores 74.5% SWE-bench Verified
Anthropic has launched Claude Opus 4.1, an update that strengthens coding reliability in multi-file projects and improves reasoning across long interactions. The model also raised its SWE-bench Verified score to 74.5%, up from 72.5%. Building on Opus 4, the new version strengthens Claude’s ability to act as a coding assistant, particularly in multi-file contexts.
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Claude Code Subagents Enable Modular AI Workflows with Isolated Context
Anthropic has recently made Claude Code Subagents generally available, enabling developers to create independent, task-specific AI agents with their own context, tools, and prompts.