A developer at acai.sh has proposed a methodology called "specsmaxxing" to address what they term "AI psychosis"—the tendency to build increasingly complex AI meta-systems rather than focusing on actual product development. The article, posted on Hacker News on May 3, 2026, gained 194 points and sparked 215 comments debating structured approaches to AI-assisted development.
The author describes spiraling into obsessively building AI harnesses and meta-systems, using AI to build tools for building products instead of simply building the product itself. This included writing elaborate PRDs and TRDs, attempting to have agents write specs, and creating what they call a "mini dark factory" of automation that distracted from core development work.
YAML Provides Structure Between Rigour and Flexibility
The proposed solution centers on writing specifications in YAML rather than markdown. Each requirement gets a unique ACID (Acceptance Criteria ID) like AUTH-1 or ENG.2, enabling stable referencing throughout codebases and tests. Unlike plain markdown, YAML provides machine-readable structure for automated tracking and analysis while maintaining what the author calls "the sweet spot between rigour and vibes, structure and flexibility."
The approach enables traceability where requirements can be systematically referenced in code. The author demonstrates how agents naturally numbered requirements and referenced them, such as adding // AUTH-1 comments before authorization header checks and // AUTH-2 before token verification logic.
Five Core Recommendations for Spec-Driven Development
The methodology includes five key practices: write specs first rather than working prompt-driven, keep specs concrete by focusing on functional behavior and critical constraints while avoiding superficial UI requirements, reference requirements systematically using ACIDs in code and tests, track acceptance coverage to monitor which requirements are implemented and tested, and collaborate via dashboards rather than file-by-file GitHub reviews.
The acai.sh toolkit includes a feature.yaml template for structured specifications, a CLI tool available via npm or GitHub releases for parsing and validation, and a web dashboard for tracking implementation across products, features, and versions.
Future Vision: Specifications as Primary Value
The author theorizes that as code generation becomes instantaneous and free, "your criteria for acceptability is really the only thing of value. The spec." This leads to predicted evolution toward "testmaxxing" where QA becomes the bottleneck, and "reactive software factories" where LLMs autonomously respond to failing tests.
Mixed Community Response
Community reaction was divided. Supporters appreciated the structured approach and shared parallel methodologies they had developed. Critics questioned whether YAML offers real advantages over markdown, raised concerns about token costs for AI context, and suggested detailed upfront specs may not suit iterative development. One commenter highlighted a broader concern: "very few devs are actually reviewing any generated code," pointing to fundamental questions about AI-assisted development practices.
Key Takeaways
- The "specsmaxxing" methodology uses YAML specifications with unique ACIDs to combat "AI psychosis"—building complex AI meta-systems instead of actual products
- YAML provides machine-readable structure for automated tracking while maintaining flexibility, enabling systematic requirement tracing throughout code and tests
- The approach shifts from prompt-driven to spec-driven development with five core practices including writing specs first and tracking acceptance coverage
- The acai.sh toolkit includes feature.yaml templates, a CLI tool, and web dashboards for tracking implementation across products
- Community response on Hacker News was mixed, with 194 points and 215 comments debating advantages over markdown and suitability for iterative development