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Discover how Caedist brings structure and quality to AI-driven software development, ensuring robust and maintainable solutions.

Caedist: Engineering discipline for AI-assisted software creation.

Understanding Caedist’s Approach to AI

Key Principles of Caedist

01

The Importance of Structure in Development

Discipline and strict framework rules shape AI workflows.

02

Addressing the Challenges of Vibe Coding

Mitigating loose specifications and untested assumptions.

03

The Role of the Non-LLM Orchestrator

Rules-based execution engine guides the specialized agents.

04

Ensuring Quality and Security in Software

Mandatory integration of security frameworks (NIST, ISO) and automated gates.

05

Building a Trustworthy AI Development Framework

Auditability, transparent logs, and deterministic verification.

Frequently Asked Questions

Caedist combines engineering discipline with AI capabilities, ensuring robust, maintainable software through structured processes and specialized roles. This approach mitigates the risks associated with ‘Vibe Coding’ by enforcing quality control and security throughout the development lifecycle.

Caedist employs a multi-agent system where each AI persona has a specific role, such as requirements gathering, coding, and code reviewing. This structured collaboration ensures that all code meets high standards of quality and security before it progresses to release.

The key roles include the Requirements Collector, Developer, Code Reviewer, and Compliance & Security Officer. Each role is designed to address specific aspects of the development process, ensuring clarity, quality, and compliance throughout the project.

Caedist enforces mandatory unit testing and real-world testing scenarios before any code can be released. This rigorous testing harness simulates actual user interactions, ensuring that the software functions correctly in practice, not just in theory.

The ultimate goal of Caedist is to create a balanced future for AI-driven development, where speed and creativity are harmonized with the rigor of traditional software engineering. It aims to build a trustworthy AI team that enhances human developers’ capabilities while maintaining high standards.

Caedist integrates AI into the development process while maintaining strict engineering principles. Unlike traditional methods, it leverages specialized AI personas to ensure quality, security, and collaboration, transforming how software is built.