According to Thariq (@trq212) on Twitter, Claude Code has introduced a new feature that enables users to receive summaries when they rewind conversations using the /rewind command or by pressing ESC twice. This update allows users to explore different conversation paths and retain key learnings efficiently. As reported by Boris Cherny, this improvement enhances usability and assists developers in managing complex interactions within Claude Code.

According to Claude (@claudeai), the Claude Code team has announced the 'Built with Opus 4.6' virtual hackathon, inviting developers to participate in a week-long coding event. Participants stand a chance to win $100,000 in Claude API credits, with winners being hand-selected for their innovative projects. This event highlights business opportunities for developers to leverage Claude Code and Opus 4.6 for practical AI applications, as reported by Claude's official Twitter account.

According to @godofprompt on Twitter, Claude has launched 'agent teams' on Claude Code, allowing users to deploy multiple AI agents that coordinate autonomously and work in parallel. This feature, currently in research preview, enables the efficient handling of complex tasks that can be divided and managed independently, driving new business opportunities in workflow automation and scalable AI solutions. As reported by Claude, this development marks a significant step in advancing autonomous agent collaboration for enterprise productivity.

According to Lydia Hallie on Twitter, Claude Code has introduced a new experimental feature called Teams, also referred to as Agent Swarms, which allows a lead agent to delegate tasks to multiple AI teammates working in parallel. This update enables agents to research, debug, and build collaboratively, greatly enhancing productivity and workflow automation. As reported by Lydia Hallie, the Teams feature is currently in research preview and may require significant token usage. Users can enable Teams in their settings.json and access further documentation on the official Claude Code site. This development signals growing business opportunities for companies looking to streamline operations with collaborative AI agents.

According to @claudeai, Claude Code has introduced agent teams, allowing users to deploy multiple autonomous agents that coordinate and work in parallel. This feature, currently in research preview, is designed for tasks that can be divided and handled independently, streamlining workflows and improving efficiency for complex projects, as reported on Twitter.

According to Claude (@claudeai), Opus 4.6 achieves state-of-the-art performance in agentic coding, multi-discipline reasoning, knowledge work, and agentic search. The announcement highlights the integration of Opus 4.6 capabilities into new features across Claude in Excel, Claude in PowerPoint, Claude Code, and the Claude API. As reported by Claude on Twitter, these enhancements enable Opus 4.6 to offer advanced automation and productivity solutions for business users, supporting a broad range of applications from coding assistance to cross-platform knowledge management.

According to Boris Cherny on Twitter, Claude Code is now available not only as a terminal CLI but also through IDE extensions compatible with all VSCode and JetBrains-based IDEs, as well as on Claude Desktop, web, iOS, and Android apps. Additionally, integration is offered for Slack and GitHub. This broad accessibility enhances practical applications and business opportunities for developers, making Claude Code a versatile tool for software development workflows, as reported by Boris Cherny.

According to Anthropic (@AnthropicAI), Apple's Xcode now features direct integration with the Claude Agent SDK, enabling developers to leverage the full capabilities of Claude Code when building applications for Apple platforms, including iPhone, Mac, and Apple Vision Pro. This integration streamlines the development process and allows seamless implementation of advanced AI functionalities offered by Claude3, opening up new business opportunities for AI-driven apps across the Apple ecosystem.

According to God of Prompt on Twitter, Claude Code announced the creation of the Boris AI model, highlighting the importance of team contributions in AI development. This public acknowledgment underscores a growing trend towards transparent crediting in the artificial intelligence industry, which can foster greater collaboration and drive business opportunities for organizations investing in proprietary AI models.

According to God of Prompt on Twitter, OpenAI's Codex is currently favored by leading engineers due to its lower hallucination rates and higher reliability compared to Claude Code. As reported by OpenAI, the new Codex app acts as a powerful command center for building with agents and is now available on macOS. This development highlights Codex's growing role in professional coding workflows and its practical business impact for software teams seeking dependable AI coding assistants.

According to God of Prompt on Twitter, Boris Cherny, creator of Claude Code, has shared insights into how Anthropic's engineering team leverages Claude Code as an agentic coding assistant within developer terminals. The system prompt, reverse-engineered and publicly revealed, emphasizes disciplined, verification-first workflows, plan-mode orchestration, and subagent strategies for parallel task execution. Engineers are instructed to prioritize merged pull requests and systematized processes over conversational interaction, reflecting Anthropic’s internal culture of automation, self-improvement loops, and rigorous verification before task completion. According to the source, best practices include using Opus 4.5 for most tasks, spawning subagents for complex work, integrating automated formatting and permission management, and maintaining a shared institutional knowledge base. This workflow, as described, highlights practical opportunities for businesses to adopt Claude Code as infrastructure to drive scalable, high-quality software development.

According to @godofprompt, Boris Cherny, the creator of Claude Code, has disclosed detailed insights into how Anthropic's engineering team leverages Claude Code for disciplined, verification-first software development. The workflow emphasizes planning before coding, parallel execution using subagents, rigorous verification protocols, and codifying lessons in persistent documentation such as CLAUDE.md. This approach, as explained by Cherny and reported on Twitter, focuses on maximizing merged PRs by treating Claude Code as robust infrastructure rather than an autocomplete tool. Key strategies include plan mode for complex tasks, use of subagents for context management and testing, automated hooks for code formatting, and a strong culture of institutional learning and continuous improvement. These methodologies enable high productivity and quality in AI-powered software engineering, presenting a blueprint for organizations aiming to scale AI agent adoption in real-world coding environments.

According to Lex Fridman on X, an in-depth conversation with machine learning experts Sebastian Raschka and Nathan Lambert explores the trajectory of AI in 2026, focusing on major technical breakthroughs in large language models (LLMs), scaling laws, and the rapid evolution of closed versus open-source systems. The discussion highlights the competitive landscape between the US and China, advancements in AI programming tools like Claude Code and Cursor, and detailed insights into the LLM training pipeline including pre-, mid-, and post-training stages. Other key topics include the integration of robotics, continual learning, long context handling, and the increasing reliance on advanced compute infrastructure such as GPUs and TPUs. The session emphasizes business implications, such as work culture, opportunities in AI-driven coding, monetization strategies, and the impact of major players like OpenAI, Anthropic, Google DeepMind, xAI, and Meta. According to Lex Fridman, the conversation also addresses AGI timelines, risks, beginner advice, and predictions for future industry consolidation, providing a comprehensive guide for navigating the rapidly evolving AI landscape.

According to God of Prompt, major AI companies are advancing their portfolios with new product launches such as Anthropic's Claude Code, Claude Cowork, and Skills, while Google introduces Nano Banana, Veo, and Genie 3. These developments reflect a competitive push in practical AI tools for coding, collaboration, and generative applications, as reported by God of Prompt.

According to Andrew Ng on Twitter, DeepLearning.ai has launched a new course titled 'Agent Skills with Anthropic', developed in collaboration with Anthropic and taught by Ed Schoppik. The course introduces an open standard for agent skills, which are structured as folders of instructions allowing AI agents to access on-demand knowledge and execute repeatable workflows. Learners will gain practical experience building custom skills for code generation, data analysis, and research, as well as integrating Anthropic's pre-built skills for platforms like Excel and PowerPoint. The course highlights interoperability, enabling skills to be deployed across Claude.ai, Claude Code, the Claude API, and the Claude Agent SDK. According to DeepLearning.ai, these advancements present significant opportunities for scalable, specialized AI applications and streamlined business processes.

According to God of Prompt on Twitter, running 200 Claude code instances at once demonstrates the scalability and parallel processing capabilities of advanced AI code assistants, highlighting their potential for handling large-scale enterprise code automation and batch processing tasks (source: @godofprompt, Twitter, Jan 24, 2026). This trend showcases how businesses can leverage AI models like Claude to accelerate software development cycles, manage high-volume coding operations, and streamline workflows across multiple projects, unlocking new efficiencies in AI-driven DevOps and automated code review.

According to @claudeai on Twitter, Claude Cowork is now available for Team and Enterprise plans, offering advanced AI-powered productivity tools for business users. Cowork enables teams to automate and optimize non-technical workflows, similar to how developers leverage Claude Code for coding tasks. This release targets organizations seeking scalable AI solutions to streamline operations, reduce manual work, and improve collaboration, signaling a shift toward broader AI adoption in business process automation (source: https://x.com/claudeai/status/2010805682434666759).

According to God of Prompt, recent Google Trends data shows a marked increase in search interest for Claude code compared to Codex, highlighting a significant shift in the AI coding tools landscape (source: @godofprompt, Jan 23, 2026). This trend suggests that developers and enterprises are increasingly evaluating Claude as a viable alternative to OpenAI’s Codex for generative code solutions. The rising popularity of Claude code indicates growing confidence in its natural language processing capabilities and its integration potential for business automation, software development, and AI-driven workflow enhancements. Companies looking to capitalize on AI-powered coding assistants should monitor these shifts in developer preferences and consider integrating trending solutions like Claude to maintain a competitive edge.

According to @trq212 on X (formerly Twitter), Claude Code is evolving into an autonomous agent capable of running continuously, marking a significant advancement in AI workflow automation (source: https://x.com/trq212/status/2014480496013803643). This development positions Claude Code to handle complex, ongoing tasks without human intervention, potentially increasing operational efficiency for businesses adopting AI-driven solutions (source: https://x.com/i/article/2014473994695823360). The move towards continuous autonomous agents reflects a broader industry trend toward persistent AI systems that can optimize business processes in real-time.

According to @claudeai, Claude Code has introduced a new diff view feature for both web and desktop users, allowing developers to see the exact changes made by the AI directly within the app. This update streamlines the code review process and enhances developer productivity by providing immediate visual feedback on AI-generated code modifications without requiring users to switch applications. The feature supports more transparent and efficient integration of AI coding tools into daily workflows, creating new opportunities for businesses to accelerate software development cycles and reduce errors (source: @claudeai, January 15, 2026).