About Aisman
The control layer for AI-assisted development.
AI agents can write code. They can't own a software project.
Software engineering still requires memory, structure, verification, and accountability. AI changes who writes the code—it doesn't eliminate the need for engineering discipline. That's the gap Aisman fills.
You prompt. AI codes. Aisman keeps score.Every requirement. Every decision. Every implementation.
Tracked from idea to completion.
Aisman is the control layer for AI-assisted development. It fills the gap between fast AI code generation and reliable software engineering by capturing intent, guiding agents, connecting implementation to requirements, and maintaining a continuous audit trail—without requiring you to manually log a single issue.
Short-term AI sessions. Continuous project context.
The AI continuity loop.
Git gave developers version control.
CI/CD gave teams continuous integration.
Aisman gives AI-assisted development continuous context.
AI agents are powerful but temporary. Their context resets. Aisman provides the continuity layer that preserves every feature, architectural decision, linked requirement, bug, and open task across your entire project lifecycle. It preserves the development journey.
"Just as CI/CD brought continuous integration to Git commits,
Aisman brings continuous context to AI coding sessions."
Different jobs. One workflow.
Structure around your existing AI tools
Aisman isn't another coding agent. It doesn't replace Cursor, Claude Code, RooCode, GitHub Copilot, or any future AI coding assistant. Instead, it provides the control layer around them—keeping work connected, traceable, and accountable across prompts, sessions, and contributors.
- Confidence that every requirement was implemented.
- Confidence that unfinished work won't disappear between sessions.
- Confidence that your project remains understandable months later.
Speed meets discipline.
AI coding with and without a control layer.
Aisman works with your AI coding agent—it does not replace it. It brings the structure, continuity, and accountability needed to turn fast AI-generated code into a reliable engineering process.
Without Aisman
- Prompt history scattered
- Lost context
- Forgotten requirements
- Manual follow-up prompts
- Guessing what was implemented
With Aisman
- Linked issue history
- Long-term project memory
- Trackable requirements
- Automatic prompt generation
- Verified implementation
Opinionated by design.
The missing link between AI agents and long-term software development.
To enforce structure, continuity, and accountability every design decision in Aisman follows three core principles:
Engineering first
Developers stay in charge. AI accelerates implementation, while Aisman keeps every decision reviewable, traceable, and accountable.
Agent agnostic
Works with any AI coding agent that follows instruction files. No vendor lock-in.
Developer experience
Designed by developers, for developers. Minimal friction, maximum automation.
Why the name Aisman?
From simple issue tracking to full project continuity.
Every product starts by solving one problem. Aisman began as AI Issue Management—a lightweight way to track what AI coding agents were changing. The name itself is a portmanteau of that original title: AIsMan → Aisman.
As AI-assisted development evolved, we realised tracking issues wasn't enough. The real challenge was preserving continuity: keeping requirements, decisions, implementation history, verification, and unfinished work connected across many AI sessions.
Today, Aisman is the control layer that connects AI coding agents with the developers who guide them—bringing structure around the tools that already write your code.
AI changes who writes the code. It doesn't eliminate the need for engineering.
Aisman exists to ensure that as software development becomes faster, it also becomes more reliable, accountable, and understandable.
And yes—the name sounds like Iceman, hence our frosty robot logo with icicles.
Aisman