Agile AI Development Lifecycle vs HeimWall

A framework and methodology for transforming pre-AI software development lifecycle into AI-native development at scale.

Signal, not surveillance. See how your engineers use Cursor, Claude Code, and Copilot: catch leaked secrets, PII, and confidential data, without blocking them or reading...

About Agile AI Development Lifecycle

A framework and methodology for transforming pre-AI software development lifecycle into AI-native development at scale. At first it looks like an easy-to-adopt (just drop markdown files into your repository) framework that should take one from pre-AI software development lifecycle to the AI-native future. In its nature it is very similar to compound engineering. - all of them are a collection of skills in markdown prose that rely on human-in-the-loop review. Notably both of them were introduced to the public a few months before AWS released AI-DLC, but it's hard to compete with AWS in terms of visibility.

About HeimWall

Signal, not surveillance. See how your engineers use Cursor, Claude Code, and Copilot: catch leaked secrets, PII, and confidential data, without blocking them or reading their prompts. Nothing sits in your send path, your prompt reaches the tool untouched, and what you type into an AI tool is never sent to us. To read your prompt before it is sent, the app reads the composer through the macOS Accessibility API and watches the clipboard. Accessibility is a wide permission and macOS does not offer a narrower one for this.