TL;DR: Boris Cherny's AI-Powered Coding Workflow Redefines Developer Productivity
Boris Cherny, creator of Claude Code, unveiled a groundbreaking AI-driven workflow that streamlines software development by automating repetitive tasks, leveraging custom AI agents, and integrating parallel processes to accelerate output without compromising quality.
• Key Innovations: Custom slash commands, AI subagents, automated testing, and seamless GitHub integration.
• AI Advantages: Prevents errors, delivers real-time coding assistance, and supports scalable workflows leveraging up to 10 AI instances.
• Best Practices: Automate routine tasks, centralize team knowledge, plan meticulously, and embrace AI for efficiency.
Explore and customize these methods to boost your team’s productivity and future-proof your development process.
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The Creator of Claude Code Just Revealed His Workflow, and Developers Are Losing Their Minds
In the ever-evolving world of software development, Boris Cherny, the creator of Claude Code, has just taken the developer community by storm. His innovative approach to workflow design, packed with AI integration, lean methodologies, and an almost obsessive commitment to automation, has left developers both fascinated and rethinking how they approach coding. Let’s unpack exactly what makes this workflow revolutionary and why it has industry insiders buzzing.
Who Is Boris Cherny, and Why Is His Workflow a Game-Changer?
Boris Cherny, a software engineer at Anthropic and one of the minds behind Claude Code, is well-known in development circles for streamlining complex coding tasks using AI. Claude Code specializes in leveraging artificial intelligence to assist developers in coding, testing, and shipping software faster while maintaining top-tier quality.
Recently, in a viral social media thread, Boris revealed the intricacies of his workflow. What stood out wasn’t just the tools he uses but how he uses them: simultaneous processes, automated testing, custom AI subagents, and clever “slash commands” that eliminate repetitive tasks. This workflow allows him to maintain a prolific output, shipping hundreds of pull requests in a matter of weeks using precise strategies that many developers are now rushing to emulate.
If you’re not familiar with Claude Code, it’s a developer tool designed to seamlessly integrate with various coding environments. Think of it as an AI co-pilot that works hand-in-hand with engineers to plan, write, and validate code. Boris’ workflow takes things further by pushing the boundaries of what an AI-driven development environment can do.
What Are the Key Components of Boris Cherny’s Workflow?
Boris Cherny’s workflow is an elegant blend of cutting-edge technology and intelligent process management. Here’s the breakdown of its main components:
- Parallel Work Streams: Boris divides his tasks into five or more simultaneous workflows. He uses iTerm2 notifications to keep track of progress across these streams efficiently.
- Custom “Slash Commands”: To automate repetitive tasks like commits, pushes, and pull requests, Boris creates dedicated commands that save him hours of time each week.
- AI-Driven Subagents: These autonomous modules extend Claude Code’s functionality. For instance, they automatically simplify code structures, verify test results, and analyze error logs.
- Plan Mode: Before executing code, Boris employs Claude in a “planning” phase where every step is outlined and validated before action. This reduces errors and ensures smooth execution.
- GitHub Integration: Using advanced automation, his GitHub actions automatically update shared documentation, reducing human error and boosting team collaboration.
- Autonomous Testing: Boris uses post-execution hooks to clean and reformat code, ensuring it meets CI/CD standards without manual intervention.
- Shared Knowledge Base: All relevant details are stored centrally in a team-readable document dubbed CLAUDE.md, promoting collaboration and transparency.
These processes allow Boris to maintain rapid development cycles while safeguarding quality, a balance that many developers struggle to find.
How Does AI Fit Into Boris’ Workflow?
Artificial intelligence is the backbone of Boris Cherny’s workflow. Here’s where AI makes the most impact:
- Error Prevention: By utilizing planning modes and AI-based verification, errors are caught before they become a problem, saving countless hours of debugging.
- Real-Time Assistance: Claude Code provides live suggestions, from syntax corrections to entire function implementations.
- Slack MCP Server: A custom server integration allows AI agents to interact with tools like Slack, automating reports, logs, and status updates.
- Unmatched Scalability: Boris can run 10 instances of Claude simultaneously, handing off sessions seamlessly between his browser and local machine using a custom teleport command.
This clever use of AI is clearly a glimpse into how developers will incorporate advanced tools into their workflows in the near future.
What Lessons Can Entrepreneurs and Teams Learn From This Workflow?
If you’re a solo entrepreneur, startup founder, or even managing a team of engineers, there’s a lot to gain from Boris’ best practices. Here are practical takeaways:
- Automate Repetitive Tasks: Setting up automation for repeated processes helps free up time for strategic thinking.
- Embrace AI for Daily Operations: From planning to execution, integrating AI can make workflows more efficient and error-proof.
- Document Everything: Storing your team’s collective knowledge in one place accelerates onboarding and collaboration.
- Optimize Parallel Processes: Managing multiple tasks concurrently can improve productivity and reduce downtime across projects.
- Always Plan Before Execution: A comprehensive plan minimizes errors during execution phases.
For business owners looking to integrate AI into engineering workflows, this blueprint offers a roadmap for success.
What’s Next for Developers Inspired by This Workflow?
It’s not just about implementing AI tools; it’s about understanding how to use them strategically. Boris Cherny’s workflow emphasizes the importance of aligning processes with long-term goals while minimizing manual effort. Entrepreneurs and developers need to start experimenting with these methods to stay competitive in the digital landscape of 2026 and beyond.
- Start small with automation by identifying repetitive tasks in your workflow.
- Experiment with AI tools like Claude Code or similar platforms integrated with existing tech stacks.
- Document your processes and share them with your team for continuous improvement.
- Test parallel workflows to enhance output without overwhelming your team.
- Dedicate time to refine and customize tools based on your team’s specific use cases.
Boris Cherny has showcased the future of software development, and now it’s up to the community to turn inspiration into action.
FAQ: The Creator of Claude Code’s Workflow Revealed
Who is Boris Cherny, and what is Claude Code?
Boris Cherny is a software engineer at Anthropic, renowned for creating Claude Code, an AI-driven developer tool. Claude Code functions as an AI co-pilot, assisting programmers in planning, coding, testing, and deploying software quickly while maintaining top quality. Cherny focuses on merging advanced AI capabilities with automation to redefine software development workflows. His method involves integrating custom AI subagents, streamlined processes, and innovative automation methods, such as parallel workflows and "slash commands," which remove repetitive tasks. These techniques have inspired developers globally to rethink their approach to coding. Explore Claude Code insights
What makes Boris Cherny’s workflow groundbreaking?
Cherny’s workflow is game-changing because it combines cutting-edge AI tools with intelligent task management. His innovative methods include running five or more parallel workflows, using AI-driven subagents that validate and simplify code, and leveraging GitHub automation for seamless collaboration. By reducing manual errors through planning and autonomous testing phases, Cherny achieves impressive productivity rates, completing hundreds of pull requests in weeks. Developers are quickly adopting his streamlined methods to enhance their efficiency in coding and software management. Discover Boris’ advanced methods
How does Boris utilize artificial intelligence in his workflow?
AI forms the cornerstone of Cherny's workflow, enabling error prevention, real-time assistance, and scalability. His custom AI subagents analyze error logs, test execution, and optimize code structures, while his Slack MCP server automates status and log reporting. Boris uses "Plan Mode" with Claude Code to carefully outline and confirm tasks before execution, significantly reducing coding errors. His ability to run multiple AI instances and seamlessly hand off processes from browser to local systems reflects his deep integration of AI in every aspect of development. Learn how AI improves coding workflows
What are the key components of Boris Cherny’s workflow?
Cherny’s workflow emphasizes parallel work streams, automation, and shared knowledge systems. He employs custom "slash commands" for repetitive tasks, autonomous testing to maintain CI/CD compliance, and subagents to simplify code structures and verify results. Additionally, he integrates GitHub actions to update shared documentation and uses a centralized knowledge base, CLAUDE.md, to improve collaboration. These components ensure rapid development cycles while safeguarding code quality. For developers seeking efficiency and accuracy, Cherny’s methodology offers valuable insights. Explore workflow components
Can Boris Cherny’s workflow apply to a team or organization?
Yes, Cherny’s methodologies are scalable and can benefit startups, enterprises, and engineering teams. Features like GitHub automation, shared knowledge bases, and automated error-correction systems ensure smooth team collaboration and onboarding. By integrating AI tools and automating redundant tasks, teams can achieve higher productivity levels while maintaining quality standards. Organizations looking to modernize their engineering workflows can take inspiration from Cherny’s practices to streamline processes and improve outcomes. See how teams can adopt AI workflows
Are these techniques accessible to solo developers?
Absolutely. Solo developers can benefit from adopting Cherny’s workflow, particularly custom slash commands and AI integration for repetitive tasks. Tools such as Claude Code allow solo professionals to write, plan, test, and deploy code efficiently, even without a team. Beginners can explore these techniques incrementally, starting with automation tools and building familiarity with AI-driven coding assistants. This process enables developers of all experience levels to work smarter and faster. Learn workflow tips for solo developers
What lessons can entrepreneurs take from Boris Cherny’s workflow?
Entrepreneurs can learn how strategic automation and process optimization can make their operations more efficient. Cherny’s approach highlights the importance of using AI for daily operations, documenting workflows systematically, automating repetitive tasks, and planning steps meticulously before execution. Through methods like parallel processing, startups and small teams can reduce downtime and boost productivity. These techniques serve as a roadmap for businesses aiming to integrate AI into their workflows effectively. Find insights for business owners
What tools does Boris recommend, and can they fit into existing ecosystems?
Cherny leverages a combination of Claude Code, GitHub, Slack, and custom AI subagents. Claude Code integrates seamlessly into most coding environments, making it easy for developers to test and deploy changes efficiently. Teams can use GitHub actions for automation and Slack integration to streamline communication and updates. These tools are compatible with existing tech stacks, promoting flexibility in adoption without major infrastructure overhauls. Discover recommended tools
How can developers start implementing similar workflows?
Developers can begin by identifying repetitive tasks and applying automation tools like slash commands. Incorporating AI tools such as Claude Code allows for intelligent assistance in coding, testing, and planning. Gradually add features such as parallel workflows and centralized knowledge bases to scale operations. Testing and refining tools based on team needs will ensure successful implementation over time. Check out beginner tutorials
Why is this workflow considered the future of development?
Cherny’s techniques showcase a modern approach to coding that efficiently integrates AI, automation, and shared processes. This workflow model empowers developers to focus on innovation rather than repetitive manual tasks. Industry experts believe this represents the future of software development, enabling faster releases and improved quality. As technologies like Claude Code evolve, workflows will increasingly prioritize automation and collaboration, ensuring competitive advantage in the digital era. Explore future development trends
About the Author
Violetta Bonenkamp, also known as MeanCEO, is an experienced startup founder with an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 5 years as a solopreneur and serial entrepreneur. Throughout her startup experience she has applied for multiple startup grants at the EU level, in the Netherlands and Malta, and her startups received quite a few of those. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely.
Violetta is a true multiple specialist who has built expertise in Linguistics, Education, Business Management, Blockchain, Entrepreneurship, Intellectual Property, Game Design, AI, SEO, Digital Marketing, cyber security and zero code automations. Her extensive educational journey includes a Master of Arts in Linguistics and Education, an Advanced Master in Linguistics from Belgium (2006-2007), an MBA from Blekinge Institute of Technology in Sweden (2006-2008), and an Erasmus Mundus joint program European Master of Higher Education from universities in Norway, Finland, and Portugal (2009).
She is the founder of Fe/male Switch, a startup game that encourages women to enter STEM fields, and also leads CADChain, and multiple other projects like the Directory of 1,000 Startup Cities with a proprietary MeanCEO Index that ranks cities for female entrepreneurs. Violetta created the “gamepreneurship” methodology, which forms the scientific basis of her startup game. She also builds a lot of SEO tools for startups. Her achievements include being named one of the top 100 women in Europe by EU Startups in 2022 and being nominated for Impact Person of the year at the Dutch Blockchain Week. She is an author with Sifted and a speaker at different Universities. Recently she published a book on Startup Idea Validation the right way: from zero to first customers and beyond, launched a Directory of 1,500+ websites for startups to list themselves in order to gain traction and build backlinks and is building MELA AI to help local restaurants in Malta get more visibility online.
For the past several years Violetta has been living between the Netherlands and Malta, while also regularly traveling to different destinations around the globe, usually due to her entrepreneurial activities. This has led her to start writing about different locations and amenities from the point of view of an entrepreneur. Here’s her recent article about the best hotels in Italy to work from.
