mochow13
To explore the future of software engineering where humans orchestrate AI agents to build complex software, as demonstrated by the Keen Code project.
At a Glance
- Software Engineers
- AI Researchers
- Open Source Developers
AI Tools by mochow13
(1)
Keen Code
Terminal AI Coding Agent CLI
Discussions
No discussions yet
Be the first to start a discussion about mochow13
Latest News
Keen Code reaches version 0.47.0 with enhanced terminal experience.
Keen Code introduces support for Model Context Protocol (MCP) and dynamic 'Skills'.
Show HN: Keen Code – a context aware CLI coding agent built by coding agents.
First commit of the Keen Code project made on GitHub.
Products & Services
A terminal-based AI coding agent built by agents. Features context efficiency through 'Turn Memory' and 'Skills-driven MCP' servers.
An AI-powered product focused on making travel accessible and transformative. (In development/Ongoing project)
A technical newsletter sharing insights on software engineering and AI.
Market Position
Competes with other CLI coding agents like Claude Code, Windsurf, and Codex CLI. Differentiates through context efficiency (Turn Memory) and being built entirely by AI agents.
Leadership
Founders
Mottakin Chowdhury
Senior Software Engineer at Booking.com (Amsterdam) and formerly Senior Software Engineer at Grab (Singapore). Expertise in backend systems, distributed systems, and AI integration. He acts as the human orchestrator for his projects, specifically Keen Code, which was built entirely by AI agents under his guidance.
Executive Team
Mottakin Chowdhury
Solo Creator / Senior Software Engineer
Experienced backend engineer at major tech companies like Booking.com and Grab.
Founding Story
Keen Code was started as an experiment to see if a coding agent could be built entirely by other coding agents. Mottakin Chowdhury acted as the orchestrator, while AI agents wrote every line of code.
Business Model
Revenue Model
The project Keen Code is open-source (MIT License) and currently free to use. Mottakin Chowdhury builds these as side-projects or experiments.
Target Markets
- Software Engineers
- AI Researchers
- Open Source Developers
- AI-assisted software development
- Context-efficient CLI coding
- Experimental agent-based workflows