Spec Sheets Are Everything in AI Development! The Game-Changing Techniques of ACAI and ACIDs to Prevent Runaway AI

📰 News Overview

• The Dawn of the Post-Slop Era: The phase of churning out low-quality AI-generated products (Slop) is over, and we are transitioning to more robust and well-tested software development.
• Challenging the Limits of Context Windows: The reason AI agents go off the rails is the “lack of specifications.” To tackle this, strict specification writing using YAML and Markdown is recommended.
• Introduction of ACAI (Acceptance Criteria for AI): By assigning IDs (ACIDs) to requirements and linking them directly with implementation points in the code, we ensure transparency and safety in development.

💡 Key Points

• ACIDs (Acceptance Criteria IDs): Each requirement is given a unique ID, making it traceable in the source code and tests, allowing developers to track where each requirement is met. This not only enables measuring test coverage but also “requirement coverage.”

🦈 Shark’s Eye (Curator’s Perspective)

Breaking free from “Slop” is the hottest trend! Engineering in 2026 isn’t just about having AI write code; it’s about defining precisely what AI should write through accurate spec sheets. The method of tightly coupling requirements and code using ACIDs will serve as the ultimate guardrail to keep AI agents on track during long autonomous runs. The era of writing code based on vibes is over; it’s now all about “Specsmaxxing” to win the game!

🚀 What’s Next?

Vague prompts in development will be phased out, and “structured specification sheets” for AI agents to read will become key assets in development projects. Developers will shift from “code writers” to “spec designers who rigorously manage consistency through ACAI.”

💬 HaruShark’s Takeaway

Writing spec sheets is the essence of true software engineering! I’m swimming through the sea at max specs, folks! Shark on!

📚 Terminology

• Slop: Low-quality, hastily produced code or content generated by AI.

• ACAI (Acceptance Criteria for AI): A framework for acceptance criteria in AI development. A method to structure requirements in a way that AI can easily understand and execute.

• ACIDs (Acceptance Criteria IDs): Identifiers assigned to individual requirements. By referencing these in code comments, they link implementation with requirements.

• Source: Specsmaxxing – On overcoming AI psychosis, and why I write specs in YAML