Canada
Multiple Award-winning Open Source GitHub Star ❯ Founder & CEO ⌘ Command Code 2nd most used coding agent for top open models 3T/100K Devs ❯ Ex VP of DevTools/DX Rapid Google Developers Advisory Board (gDAB) founding member ❯ Node.js Community Committee Outreach Lead ❯ Course author at VSCode.pro & NodeCLI.com ❯ Ex VP of Engineering DevRel WGA ❯ WordPress Core Team Dev ❯ EE-CS Engineer
Introducing Command a coding agent powered by Langbase, Claude, OpenAI, GitHub Models and orchestrated with GitHub Actions. Ahmad Awais demonstrates building AI agents with meta neuro-symbolic reasoning that automate PR reviews, code analysis, and refactoring directly in your GitHub repos.
Speaking (conference/usergroups) / 10-15-2025
Discover how to orchestrate intelligent coding agents that work while you sleep. Ahmad Awais demonstrates building autonomous agents using GitHub Actions for workflow automation, GitHub Copilot for context-aware code generation, and Langbase for persistent memory and knowledge retrieval. Learn to create agents that review PRs, refactor code, generate documentation, and handle repetitive dev tasks—all running serverless in your CI/CD pipeline. This talk delivers practical patterns for composing these primitives into production-ready agents that scale across your entire codebase.
Event organization / 10-02-2025
Shared my collection GitHub Star badges. I feel like a pins collector now. 😎
Other / 09-18-2025
Why the best AI tools are built with composable primitives, not heavyweight frameworks. Ahmad Awais shares how COMMAND.new leverages GitHub Actions, Langbase pipes, and serverless primitives to create flexible AI agents. Delivered at GitHub HQ, this talk demonstrates building production-ready agents using fundamental building blocks that integrate seamlessly with GitHub Actions, Copilot Workspace, and your existing developer workflow. Learn to compose primitives into powerful automation that scales across your entire GitHub organization.
Speaking (conference/usergroups) / 06-13-2025
Frameworks lock you in, primitives set you free. Ahmad Awais demonstrates why composable AI primitives outperform monolithic frameworks for building GitHub-integrated agents. Using real-world examples with GitHub Copilot, Langbase Memory, and serverless tools, learn to build maintainable agents that handle code review, documentation generation, and automated testing. This talk delivers actionable patterns for integrating AI directly into GitHub workflows without framework bloat—just clean, composable code that works with your existing stack.
Speaking (conference/usergroups) / 06-03-2025
Ahmad Awais demonstrates why composable AI primitives by Langbase outperform monolithic frameworks for building GitHub-integrated agents. Using real-world examples with GitHub Actions workflows, GitHub Models API, and Langbase Memory, learn to build maintainable agents that handle code review, documentation generation, and automated testing triggered by PR events. This talk delivers actionable patterns for integrating AI directly into GitHub repos without framework bloat—just clean, composable workflows that run on every push, PR, and issue.
Speaking (conference/usergroups) / 06-03-2025
Frameworks lock you in, GitHub Actions + Langbase AI primitives set you free. Ahmad Awais demonstrates why composable primitives outperform monolithic frameworks for building GitHub-integrated agents. Using real-world examples with GitHub Actions workflows, GitHub Models API, and Langbase Memory, learn to build maintainable agents that handle code review, documentation generation, and automated testing triggered by PR events. This talk delivers actionable patterns for integrating AI directly into GitHub repos without framework bloat—just clean, composable workflows that run on every push, PR, and issue.
Speaking (conference/usergroups) / 06-03-2025
Deep dive into developer experience for building AI agents with GitHub Actions and Models. Ahmad Awais discusses designing tools that developers actually want to use, from GitHub Actions automation to Langbase's serverless memory. Learn the UX principles behind successful AI tools, how to instrument agents for observability in CI/CD pipelines, and patterns for testing AI features in GitHub Actions workflows. Practical insights on composing tools, debugging agent behavior in workflow runs, and shipping AI features that enhance rather than interrupt developer flow on GitHub.
Video/Podcast / 05-27-2025
