Latest news with #ClaudeCode
Geeky Gadgets
12 hours ago
- Business
- Geeky Gadgets
Master Token Management: Save Big While Using Claude Code
Have you ever been surprised by how quickly costs can spiral when working with large language models like Claude Code? While these tools are undeniably powerful for coding, problem-solving, and brainstorming, their utility comes with a hidden challenge: token consumption. Every word, character, or snippet of text processed by the model counts as a token, and these tokens directly influence both performance and pricing. If you've ever wondered why your seemingly simple task suddenly feels expensive—or why the model's responses seem to degrade during long conversations—you're not alone. Managing token usage isn't just a technical skill; it's an essential strategy for anyone looking to make the most of these innovative tools. In this instructional feature, Greg provide more insights into practical strategies for optimizing token usage in Claude Code, helping you strike the perfect balance between cost and performance. You'll uncover why stateless conversations can quickly inflate token counts, how to avoid context limitations, and when to switch between advanced and lighter models for maximum efficiency. Whether you're a developer juggling complex projects or a curious user exploring the model's capabilities, this guide will equip you with actionable insights to streamline your workflow. After all, mastering token management isn't just about saving money—it's about unlocking the full potential of AI without unnecessary trade-offs. Understanding Token Costs TL;DR Key Takeaways : Large language models (LLMs) like Claude Code calculate costs based on token usage, making effective token management crucial for reducing expenses and maintaining performance. Stateless conversations in LLMs require the entire conversation history to be included with each interaction, leading to rapid token accumulation and increased costs. Strategies to optimize token usage include starting new chats for separate tasks, summarizing long conversations, and selecting the appropriate model for specific tasks to balance cost and performance. Extended conversations can degrade model performance as the context limit is approached, resulting in less accurate responses and escalating costs. Practical workflow recommendations include using advanced models for complex tasks, switching to lighter models for simpler tasks, and regularly monitoring and resetting conversations to manage token consumption effectively. LLMs calculate costs based on the number of tokens processed during both input and output. Tokens can represent words, characters, or even parts of words, depending on the model's architecture. The more advanced the model, the higher the cost per token due to its enhanced capabilities for complex reasoning. For example: A simple query might consume only a few dozen tokens. A detailed conversation or code generation task could involve thousands of tokens. As token usage increases, so does the expense. This makes it essential to monitor and manage token consumption, particularly for tasks requiring extensive interactions. By understanding how token costs accumulate, you can make informed decisions to optimize usage and control expenses. Challenges of Token Usage in Stateless Conversations One of the fundamental challenges of working with LLMs is their stateless nature. These models do not retain memory between interactions, meaning the entire conversation history must be included with each new message. While this ensures continuity, it also leads to rapid token accumulation during extended conversations. Key challenges include: Increased Costs: Longer conversations consume more tokens, significantly driving up expenses. Longer conversations consume more tokens, significantly driving up expenses. Context Limitations: Exceeding the model's context limit can degrade performance, resulting in less accurate or relevant responses. Understanding these challenges is the first step toward effective token management. By addressing these issues, you can ensure smoother interactions and better performance from the model. How to Optimize Token Usage in Claude Code Uncover more insights about Claude Code in previous articles we have written. Strategies to Optimize Token Usage To mitigate token-related challenges, you can adopt several strategies to manage usage effectively. These approaches help balance cost and performance while maintaining the quality of outputs. Start New Chats for Separate Tasks: Avoid using the same chat thread for unrelated tasks. Each additional message adds to the token count, even if it's irrelevant to the current topic. Resetting the chat history with commands like /clear can free up context and reduce unnecessary token consumption. Avoid using the same chat thread for unrelated tasks. Each additional message adds to the token count, even if it's irrelevant to the current topic. Resetting the chat history with commands like /clear can free up context and reduce unnecessary token consumption. Summarize Long Conversations: When a conversation approaches 50% of the model's context limit, summarizing the discussion can help maintain focus and efficiency. Commands like /compact allow you to condense the conversation history, retaining only the most relevant information. When a conversation approaches 50% of the model's context limit, summarizing the discussion can help maintain focus and efficiency. Commands like /compact allow you to condense the conversation history, retaining only the most relevant information. Choose the Right Model: Not all tasks require the most advanced and expensive models. For high-level reasoning, a powerful model may be necessary, but simpler tasks can often be handled by lighter, less costly models. Switching between models using commands like /mod can help balance cost and performance. By implementing these strategies, you can significantly reduce token consumption while maintaining the effectiveness of your interactions with Claude Code. Why Long Conversations Can Be Problematic Extended conversations not only increase token usage but also introduce additional risks. As the context limit is approached, the model's ability to generate accurate and relevant responses diminishes. This can lead to several issues: Escalating Costs: Prolonged interactions result in higher token consumption, driving up expenses. Prolonged interactions result in higher token consumption, driving up expenses. Decreased Performance: Exceeding the context limit can cause the model to lose track of important details, reducing the quality of its outputs. While techniques like context caching and token compression can help mitigate these issues, they are not foolproof. Proactively managing conversation length and token usage remains the most effective solution to maintain performance and control costs. Practical Workflow Recommendations To optimize your workflow and minimize token-related expenses, consider adopting the following best practices. These recommendations ensure that you can use the full potential of Claude Code while keeping costs manageable. Start with a Powerful Model: Use an advanced model for tasks requiring complex reasoning, brainstorming, or initial planning. This ensures high-quality outputs for critical stages of your work. Use an advanced model for tasks requiring complex reasoning, brainstorming, or initial planning. This ensures high-quality outputs for critical stages of your work. Switch to a Lighter Model: Transition to a less costly model for execution, refinement, or repetitive tasks. This approach helps save on expenses without sacrificing quality for simpler tasks. Transition to a less costly model for execution, refinement, or repetitive tasks. This approach helps save on expenses without sacrificing quality for simpler tasks. Monitor and Reset Conversations: Regularly track token usage and reset or summarize conversations as needed. This prevents unnecessary accumulation and ensures the model remains efficient and focused. By following these strategies, you can maximize the benefits of LLMs like Claude Code while keeping token consumption under control. Effective token management allows you to harness these advanced tools for coding, problem-solving, and other AI-powered activities without compromising performance or efficiency. Media Credit: Greg Latest Geeky Gadgets Deals Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy
Geeky Gadgets
6 days ago
- Business
- Geeky Gadgets
How to Install Claude Code in Windsurf and Cursor for Seamless Coding AI Assistance
What if you could supercharge your coding environment with a tool that seamlessly integrates into your favorite platforms? Enter Claude Code—a powerful plugin designed to streamline workflows and enhance productivity. Whether you're a seasoned developer or just starting with Windsurf and Cursor, installing and configuring Claude Code can feel like unlocking a new level of efficiency. But here's the catch: without proper setup, you risk running into compatibility issues, installation errors, or underutilized features. The good news? With the right guidance, you can avoid these pitfalls and make the most of what Claude Code has to offer. In this comprehensive guide, Robin Ebers explains how to install Claude Code in both Windsurf and Cursor, making sure a smooth integration from start to finish. From verifying system compatibility to configuring advanced features, this report walks you through every step of the process. You'll also learn how to troubleshoot common issues and optimize performance, so Claude Code doesn't just work—it works brilliantly. Whether you're looking to enhance your development environment or explore new customization options, this guide provides the tools and insights to get you there. After all, a well-configured setup isn't just about functionality—it's about unlocking the full potential of your workflow. Claude Code Integration Guide System Compatibility: A Critical First Step Before proceeding with the installation, it is essential to confirm that your versions of Windsurf and Cursor meet Claude Code's minimum system requirements. Making sure compatibility is crucial to avoid conflicts and ensure seamless integration. Check the official documentation for specific version requirements and prerequisites. Skipping this step can lead to installation errors, reduced functionality, or performance issues later. To verify compatibility: Review the system requirements provided in the Claude Code documentation. Ensure your operating system and software versions align with the stated prerequisites. Update Windsurf and Cursor to their latest versions if necessary. Taking the time to confirm compatibility upfront will save you from unnecessary troubleshooting later in the process. Step-by-Step Installation Guide Installing Claude Code requires distinct processes for Windsurf and Cursor. Follow these detailed instructions in the video below to complete the installation successfully. Watch this video on YouTube. Check out more relevant guides from our extensive collection on Claude Code integration that you might find useful. Configuring Claude Code for Optimal Use Once Claude Code is installed, proper configuration is essential to tailor its features to your specific workflow. Both Windsurf and Cursor offer robust customization options to enhance functionality. Follow these steps to configure Claude Code effectively: Access the settings menu within Windsurf or Cursor, depending on the platform you are using. Enter API keys and authentication credentials as required. These are often provided by the Claude Code service or your organization. Adjust integration parameters to suit your needs. This may include allowing advanced features, customizing user preferences, or setting up automation workflows. Take the time to explore the available configuration options. Proper setup ensures that Claude Code aligns with your development environment and maximizes its utility. Troubleshooting: Addressing Common Issues Even with careful preparation, issues can arise during installation or configuration. Understanding common problems and their solutions can help you resolve them quickly: Installation Errors: These are often caused by outdated platform versions or missing dependencies. Ensure that Windsurf and Cursor are updated to their latest versions and that all required libraries or packages are installed. These are often caused by outdated platform versions or missing dependencies. Ensure that Windsurf and Cursor are updated to their latest versions and that all required libraries or packages are installed. Compatibility Conflicts: If other plugins or extensions interfere with Claude Code, disable them temporarily to identify the source of the conflict. Re-enable them one by one to determine compatibility. If other plugins or extensions interfere with Claude Code, disable them temporarily to identify the source of the conflict. Re-enable them one by one to determine compatibility. Authentication Failures: Double-check your API keys and credentials for accuracy. Even minor errors, such as extra spaces or incorrect characters, can prevent Claude Code from functioning properly. If these steps do not resolve the issue, consult the official documentation or seek assistance from support forums and user communities for additional guidance. Optimizing Claude Code for Enhanced Performance After installation and configuration, optimizing Claude Code ensures you get the best results. Regular maintenance and fine-tuning can significantly improve its performance and reliability. Consider the following tips: Keep Claude Code updated to access the latest features, improvements, and bug fixes. Regular updates are essential for maintaining compatibility and functionality. Monitor resource usage within Windsurf and Cursor to identify potential slowdowns or inefficiencies. Adjust settings to balance performance and resource consumption. Enable caching and configure data processing limits to improve efficiency, especially when working with large projects or datasets. By proactively managing these aspects, you can fully use Claude Code's capabilities and ensure a seamless development experience. Media Credit: Robin Ebers Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
27-05-2025
- Business
- Geeky Gadgets
47 Claude Code Tips, Tricks & Hacks to Improve Your AI Coding
What if you could unlock the full potential of AI to supercharge your productivity, spark creativity, and streamline your daily tasks? With tools like Claude Code, this isn't just a futuristic fantasy—it's a reality within reach. But here's the catch: even the most powerful technology is only as effective as the way you use it. Whether you're crafting precise prompts, brainstorming innovative ideas, or integrating AI into your workflows, the difference between average results and innovative success lies in the details. That's where this feature comes in: a treasure trove of 47 expert-backed strategies to help you master Claude Code and make it your ultimate productivity ally. In the following sections, Greg provides actionable insights to transform how you work with AI. From optimizing prompts for clearer responses to refining outputs for accuracy, each tip is designed to help you harness Claude's full capabilities. You'll also explore advanced techniques like customizing responses, troubleshooting common issues, and making sure ethical AI practices. Whether you're an AI enthusiast or a curious beginner, these strategies will not only enhance your results but also inspire you to think differently about what's possible. After all, the real power of AI isn't just in what it can do—it's in how you make it work for you. Claude Code Tips & Hacks Optimizing Prompts for Clearer Responses The quality of Claude Code's responses is directly influenced by the clarity and specificity of your prompts. To achieve better results: Be specific and concise. For example, instead of asking, 'What are some ideas for a project?' try, 'Suggest five project ideas for a renewable energy startup.' For example, instead of asking, 'What are some ideas for a project?' try, 'Suggest five project ideas for a renewable energy startup.' Provide context to reduce ambiguity and guide the AI toward relevant answers. For instance, include background information or objectives in your query. to reduce ambiguity and guide the AI toward relevant answers. For instance, include background information or objectives in your query. Experiment with phrasing to refine the output and achieve the desired level of detail. Adjusting wording can significantly improve the relevance of responses. Clear and well-structured prompts ensure that Claude Code delivers actionable and accurate responses tailored to your specific needs. Structuring Queries for Precision Complex or overly broad questions can overwhelm AI systems, resulting in incomplete or irrelevant answers. To improve precision: Break down multifaceted queries into smaller, manageable parts. For example, instead of requesting a broad market analysis, ask for data on specific industries, regions, or timeframes. into smaller, manageable parts. For example, instead of requesting a broad market analysis, ask for data on specific industries, regions, or timeframes. Organize your questions logically to help Claude Code process information more effectively. A step-by-step approach often yields better results. This structured method ensures that the insights you receive are both accurate and actionable, making it easier to apply them to your projects. Learn to Use Claude Code More Effectively Watch this video on YouTube. Advance your skills in Claude Code by reading more of our detailed content. Using Claude for Creative Brainstorming Claude Code excels at generating innovative ideas, making it an excellent tool for brainstorming and problem-solving. To maximize its creative potential: Use open-ended prompts. For example, ask, 'What are innovative ways to market a fitness app?' to encourage diverse suggestions. For example, ask, 'What are innovative ways to market a fitness app?' to encourage diverse suggestions. Avoid overly restrictive instructions to allow the AI to explore a broader range of possibilities. to allow the AI to explore a broader range of possibilities. Review and refine AI-generated ideas to align them with your specific goals and objectives. This ensures the suggestions are practical and relevant. By fostering creativity, Claude Code can help you explore unique solutions to complex challenges and inspire fresh perspectives. Using Claude for Summarization and Content Creation Claude Code is highly effective at summarizing information and assisting with content creation. Here's how to make the most of these capabilities: Input lengthy documents , such as research papers or meeting notes, and request concise summaries that highlight key points. This saves time and ensures you focus on the most critical information. , such as research papers or meeting notes, and request concise summaries that highlight key points. This saves time and ensures you focus on the most critical information. Provide clear guidelines for content creation tasks, such as drafting blog posts, emails, or social media updates. Specify the desired tone, style, and length to ensure the output meets your expectations. These features allow you to streamline your workflow, freeing up time for higher-priority tasks while maintaining quality. Refining Outputs for Accuracy AI-generated responses often require refinement to meet your expectations. To improve accuracy and relevance: Critically review the output and provide feedback. For example, if a draft is too formal, ask Claude to rewrite it in a conversational tone. and provide feedback. For example, if a draft is too formal, ask Claude to rewrite it in a conversational tone. Iterate on the response until it aligns with your needs. Adjusting parameters or rephrasing prompts can significantly enhance the final result. This iterative process ensures that the final output is polished, effective, and tailored to your requirements. Integrating Claude into Your Workflows Incorporating Claude Code into your daily processes can significantly boost efficiency and productivity. Consider these strategies: Automate repetitive tasks , such as data analysis, report generation, or scheduling, to save time and reduce manual effort. , such as data analysis, report generation, or scheduling, to save time and reduce manual effort. Use Claude to draft initial versions of documents, which you can then refine and finalize. This approach accelerates content creation without compromising quality. of documents, which you can then refine and finalize. This approach accelerates content creation without compromising quality. Identify areas where AI can complement your existing workflows, such as brainstorming, summarization, or research assistance. Strategic integration of Claude Code allows you to focus on high-value activities while streamlining routine tasks. Troubleshooting Common Issues Occasionally, you may encounter challenges when using Claude Code. To address these issues effectively: Reassess your prompts for clarity and specificity if responses are irrelevant or incomplete. Vague or ambiguous queries often lead to suboptimal results. for clarity and specificity if responses are irrelevant or incomplete. Vague or ambiguous queries often lead to suboptimal results. Ensure input data is accurate and well-structured. Poor-quality data can negatively impact the AI's performance. and well-structured. Poor-quality data can negatively impact the AI's performance. Consult support resources, such as documentation or user guides, for additional guidance on resolving specific issues. Proactive troubleshooting helps you maintain consistent performance and resolve issues efficiently. Customizing Claude's Responses Customization allows you to tailor Claude Code's outputs to your specific needs and preferences. To achieve this: Adjust parameters such as tone, length, or level of detail. For example, specify whether you need a brief summary or an in-depth analysis. such as tone, length, or level of detail. For example, specify whether you need a brief summary or an in-depth analysis. Provide clear instructions to ensure the output aligns with your objectives. The more precise your guidance, the better the results. Customizing responses ensures that the AI-generated content is both relevant and effective for your intended purpose. Ethical Considerations and Responsible AI Use When using Claude Code, it's essential to prioritize ethical practices to minimize risks and uphold trust. Keep these principles in mind: Avoid generating misleading or harmful content . Ensure that the information you produce is accurate and unbiased. . Ensure that the information you produce is accurate and unbiased. Respect data privacy and comply with relevant regulations. Safeguarding sensitive information is critical for maintaining trust. and comply with relevant regulations. Safeguarding sensitive information is critical for maintaining trust. Use the tool responsibly to foster credibility and uphold ethical standards in your work. Responsible AI usage not only minimizes risks but also enhances the credibility and reliability of your outputs. Advanced Strategies and Best Practices To fully harness Claude Code's capabilities, consider adopting advanced strategies and staying informed about the latest developments in AI technology: Experiment with prompt engineering to discover the most effective phrasing for your specific use cases. Small adjustments can lead to significant improvements in output quality. to discover the most effective phrasing for your specific use cases. Small adjustments can lead to significant improvements in output quality. Stay updated on AI advancements and new features to refine your approach and use the tool's full potential. on AI advancements and new features to refine your approach and use the tool's full potential. Continuously evaluate and adapt your strategies to ensure optimal performance and results. These best practices enable you to remain ahead of the curve and maximize the value of Claude Code in your workflows. Media Credit: Greg + Code Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
27-05-2025
- Business
- Geeky Gadgets
Claude Code AI: The Future of Smarter, Faster Coding Launches
What if the future of coding wasn't just faster, but fundamentally smarter? At Anthropic's latest keynote, the unveiling of their advanced AI model, Claude Code, has sparked conversations across industries. Positioned as a fantastic option in software development, Claude isn't just another tool—it's an innovative leap in how we approach coding and problem-solving. By blending innovative natural language processing with practical functionality, Claude promises to not only streamline workflows but also redefine the boundaries of what's possible in software innovation. This keynote wasn't just a product launch; it was a bold statement about the future of artificial intelligence and its role in shaping industries. Anthropic explains how its Claude Code is transforming coding from a labor-intensive process into an intuitive collaboration between human ingenuity and AI. You'll discover how this model is already making waves in sectors like healthcare, finance, and education, while also addressing ethical concerns that often shadow AI advancements. Whether you're a developer seeking to optimize your workflow or a business leader curious about AI's broader potential, Claude's capabilities offer a glimpse into a more efficient, creative, and ethical technological future. As we unpack its features and implications, one question lingers: how far can AI take us when innovation and responsibility go hand in hand? Claude AI Revolution Transforming the Coding Landscape Claude Code is purpose-built to assist developers in addressing complex coding challenges with greater efficiency. Using advanced natural language processing (NLP), it supports you in writing, debugging, and optimizing code. Whether you're managing a large-scale software project or refining a smaller script, Claude offers real-time contextual suggestions, identifies potential errors, and proposes effective solutions. By automating repetitive and time-consuming tasks, Claude Code reduces the likelihood of human error and enhances the overall quality of outcomes. This functionality allows you to dedicate more time to solving intricate problems and delivering innovative solutions. Its ability to streamline workflows not only accelerates project timelines but also fosters creativity in software development. Applications Across Multiple Industries Claude's adaptability extends well beyond software development, finding practical applications in a wide range of industries. Below are some examples of its impact: Healthcare: Claude simplifies the creation of medical software, automating coding processes to enable healthcare professionals to focus more on patient care and less on administrative tasks. Claude simplifies the creation of medical software, automating coding processes to enable healthcare professionals to focus more on patient care and less on administrative tasks. Finance: It aids in developing secure and efficient algorithms for data analysis, fraud detection, and financial modeling, making sure accuracy and reliability in critical financial operations. It aids in developing secure and efficient algorithms for data analysis, fraud detection, and financial modeling, making sure accuracy and reliability in critical financial operations. Education: Claude supports the development of interactive learning platforms, enhancing accessibility and allowing personalized educational experiences for students worldwide. Claude supports the development of interactive learning platforms, enhancing accessibility and allowing personalized educational experiences for students worldwide. Manufacturing: It assists in designing software for automation and quality control, improving production efficiency and reducing operational costs. These examples underscore Claude's versatility and its potential to drive innovation across diverse sectors. By improving operational efficiency and allowing new advancements, Claude is helping industries evolve in meaningful ways. Claude Code Anthropic Keynote 2025 Watch this video on YouTube. Dive deeper into Claude AI models with other articles and guides we have written below. Enhancing Productivity and Collaboration One of Claude's standout features is its ability to significantly boost productivity. By automating routine coding tasks, it allows you to focus on higher-level problem-solving and strategic decision-making. This shift not only accelerates project completion but also encourages experimentation with new ideas and methodologies. Claude Code also excels in fostering collaboration among development teams. Its ability to assist seamless communication and knowledge sharing ensures that team members remain aligned throughout the development process. This collaborative environment promotes innovation and enables teams to deliver superior results. Furthermore, Claude's intuitive interface and real-time feedback make it accessible to both experienced developers and those new to coding, broadening its usability. Anthropic's Commitment to Ethical AI Claude Code is a reflection of Anthropic's broader vision for artificial intelligence. The company is dedicated to creating AI systems that act as reliable partners in addressing complex challenges and driving progress across industries. Central to this vision is Anthropic's emphasis on safety and ethical considerations. By prioritizing responsible AI development, the company ensures that Claude operates within clearly defined boundaries, addressing societal concerns about the risks associated with AI. This commitment to ethical practices positions Anthropic as a leader in shaping the future of AI technology. Anthropic's approach balances innovation with accountability, making sure that AI systems like Claude are designed to benefit society while minimizing potential risks. This focus on responsible development sets a standard for the industry and reinforces the role of AI as a tool for positive change. Claude: A Fantastic option for Progress Claude Code, Anthropic's advanced AI model, exemplifies the fantastic potential of artificial intelligence. Its ability to streamline coding processes, adapt to diverse industries, and enhance productivity makes it an invaluable resource for developers and organizations alike. As Anthropic continues to refine its AI offerings, Claude stands as a testament to the synergy between AI and human ingenuity. By focusing on ethical development and practical applications, Claude Code paves the way for a future where AI serves as a trusted partner in solving the challenges of tomorrow. Its impact on productivity, innovation, and collaboration highlights the possibilities of a future shaped by responsible and effective AI solutions. Media Credit: Anthropic Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
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Business Standard
23-05-2025
- Business
- Business Standard
Claude 4 Sonnet, Opus AI models released with enhanced coding capabilities
Anthropic has announced the launch of its new Claude 4 Sonnet and Claude 4 Opus AI models, now available through Claude's website and in Application Programming Interface (API). According to the company's official blog post, both models bring significant improvements in coding abilities, with Claude 4 Opus in particular targeting state-of-the-art performance across a variety of AI benchmarks. The company stated that Claude Sonnet 4 outperforms its predecessor, Sonnet 3.7, while Claude Opus 4 is said to match or exceed the capabilities of competing large language models like OpenAI's o3, GPT-4.1, and Google's Gemini 2.5 Pro. These results are based on benchmarks that test areas such as multilingual proficiency, agentic tool use, autonomous coding via terminal interfaces, and graduate-level reasoning. The announcement comes just weeks after both OpenAI and Google released updated AI models with enhanced coding capabilities. OpenAI debuted its o3 and GPT-4.1, while Google launched Gemini 2.5 Pro, which drew attention after reportedly completing a full playthrough of Pokémon Blue. New capabilities and Claude Code Anthropic has also announced some new capabilities. Here are the details: Extended reasoning with tools (beta): Claude models can now use tools like web search while engaging in deeper reasoning. This lets them switch between thinking and tool use to generate better results. Improved model abilities: Claude 4 Sonnet and Claude 4 Opus can now run tools simultaneously, follow instructions with greater accuracy, and, when granted access to local files, show enhanced memory—picking up and storing key information to ensure better context retention and learning over time. Claude Code is now widely available: Claude Code is now open for broader use. It supports background processes through GitHub Actions and integrates directly with development tools like VS Code and JetBrains, offering in-line edits for smoother collaborative coding. Claude 4 Sonnet and Opus: Availability Anthropic states that both models are accessible via the Anthropic API, as well as through partners like Amazon Bedrock and Google Cloud's Vertex AI. Pricing for Opus 4 is set at $15 per million input tokens and $75 per million output tokens, while Sonnet 4 is priced at $3 for input and $15 for output per million tokens.
