SDD
A software development methodology that treats formal specification documents as its central driving force. Before any code is written, system behavioral boundaries are precisely defined through structured documents. The methodology emphasizes the principle that 'specification equals contract,' enabling front-end and back-end teams to develop in parallel against a single shared specification.
Core Facts
AI model lifecycle management is increasingly important for developers, requiring the establishment of clear deployment, monitoring, and retirement mechanisms.
SDD (Specification-Driven Development) makes AI-generated code conform to architectural constraints by providing structured specification documents to the AI, and is the critical dividing line between toy projects and enterprise-grade systems.
Spec-Kit/SDD (Specification-Driven Development) constrains the boundaries of AI-generated output through structured technical specifications such as PRD documents, API contracts, and data model definitions.
Timeline (last 90 days)
Codex adopts the SDD (Specification-Driven Development) philosophy, establishing structured inputs through AGENTS.md and skill documents.
The basic idea of SDD (Spec-Driven Development) is to fully describe requirements, architecture, interface contracts, and test expectations in structured documents before AI writes code, and then have AI generate code step by step according to the specification.
The same high-quality specification document can drive Cursor, Claude Code, and other large-model-powered coding tools to produce outputs of comparable quality.
In complex projects, the cost of generating code for the first time is manageable; the real hidden cost lies in the cycle of repeated revisions.
The value of SDD should be measured by whether it results in fewer derailments, clearer requirement boundaries, and lower rework costs, not solely by token consumption.
Practical advice for implementing SDD includes: handle simple changes directly, lock in key information upfront for complex requirements, break down tasks with clear boundaries, and validate value using rework rate.
Adopting the SDD process requires first organizing requirements, writing a Spec, adding constraints, and breaking down tasks, which may consume several times more tokens than directly prompting.
The two extreme misuses of SDD are using it too fully (applying the complete process to minor changes) and using it too loosely (writing only a vague Spec for complex requirements).
Splitting tasks too coarsely is equivalent to not splitting at all, while splitting too finely will cause the cost of context transmission to explode
Spec Kit is an SDD specification-driven development tool in the same category of thinking as SuperPower.
9 more timeline events
All Facts (20)
AI model lifecycle management is increasingly important for developers, requiring the establishment of clear deployment, monitoring, and retirement mechanisms.
65%VerifiedSDD (Specification-Driven Development) makes AI-generated code conform to architectural constraints by providing structured specification documents to the AI, and is the critical dividing line between toy projects and enterprise-grade systems.
65%VerifiedSpec-Kit/SDD (Specification-Driven Development) constrains the boundaries of AI-generated output through structured technical specifications such as PRD documents, API contracts, and data model definitions.
65%UnverifiedSDD全流程包括市场调研与需求分析、业务建模、架构设计与技术选型、PRD文档生成、前端UI设计、后端代码生成、前端代码生成、前后端联调、代码管理部署测试与运维九个关键环节
85%UnverifiedSDD（Spec-Driven Development，规范驱动开发）在日常小迭代中写Spec的成本远高于直接写代码，且Spec基本是一次性的难以积累价值
70%UnverifiedSplitting tasks too coarsely is equivalent to not splitting at all, while splitting too finely will cause the cost of context transmission to explode
60%UnverifiedSpec Kit is an SDD specification-driven development tool in the same category of thinking as SuperPower.
60%UnverifiedThe SDD field has three mainstream frameworks—Open Spec, Spec Kit, and Superpowers—corresponding respectively to lightweight onboarding, full scaffolding, and behavioral constraints.
60%UnverifiedCodex adopts the SDD (Specification-Driven Development) philosophy, establishing structured inputs through AGENTS.md and skill documents.
50%UnverifiedThe basic idea of SDD (Spec-Driven Development) is to fully describe requirements, architecture, interface contracts, and test expectations in structured documents before AI writes code, and then have AI generate code step by step according to the specification.
50%UnverifiedThe same high-quality specification document can drive Cursor, Claude Code, and other large-model-powered coding tools to produce outputs of comparable quality.
50%UnverifiedThe two extreme misuses of SDD are using it too fully (applying the complete process to minor changes) and using it too loosely (writing only a vague Spec for complex requirements).
50%UnverifiedPractical advice for implementing SDD includes: handle simple changes directly, lock in key information upfront for complex requirements, break down tasks with clear boundaries, and validate value using rework rate.
50%UnverifiedAdopting the SDD process requires first organizing requirements, writing a Spec, adding constraints, and breaking down tasks, which may consume several times more tokens than directly prompting.
50%UnverifiedThe value of SDD should be measured by whether it results in fewer derailments, clearer requirement boundaries, and lower rework costs, not solely by token consumption.
50%UnverifiedIn complex projects, the cost of generating code for the first time is manageable; the real hidden cost lies in the cycle of repeated revisions.
50%UnverifiedThe SDD methodology is rooted in the same lineage as Design-by-Contract in traditional software engineering, but extends the contract consumers from human developers to AI models.
50%UnverifiedThe core idea of SDD is to give a programming agent a Markdown file or detailed prompt describing what to build, and let the agent implement that specification.
50%UnverifiedA typical SDD document contains four types of structured information: scope of changes, behavioral specifications, technical constraints, and acceptance criteria.
50%UnverifiedThe article recommends SDD frameworks such as Open Spec (a lightweight starter option) and Specate (a complete scaffolding solution) for use in different scenarios.
50%