SDLC Coverage (生命周期覆盖度)

How many stages of the software development lifecycle AI covers—from single coding assistance to end-to-end full-process autonomy.

Overview

This dimension measures AI penetration across various stages of the Software Development Lifecycle (SDLC). In early stages, AI only covers the coding phase; as maturity increases, it gradually expands to testing, deployment, operations, monitoring, and other full lifecycle stages.

Levels

Level 1: Information Retrieval (信息获取)

Technical lookup, code snippet explanation and generation. AI coverage is limited to information retrieval and simple code snippet generation, not yet penetrating other SDLC stages.

Level 2: Coding & Debugging (编码调试)

IDE code generation, error fixing, basic unit tests. AI begins covering coding and debugging stages, assisting with code generation, error fixing, and writing basic unit tests in the IDE.

Level 3: Process Expansion (流程拓展)

Batch test generation, code refactoring, basic scaffolding. AI coverage expands to testing, refactoring, and project scaffolding, beginning to touch more SDLC stages.

Level 4: Meta-Code Generation (泛代码生成)

AI not only writes business code but also manages CI/CD, monitoring dashboards, etc. AI coverage breaks through pure coding domain, extending to DevOps, monitoring, and other operations-related stages, becoming a full-stack development assistant.

Level 5: End-to-End Autonomy (端到端自治)

Agents autonomously reproduce bugs, fix, verify, and merge PRs. AI achieves full-process autonomy from problem discovery to resolution, covering all key SDLC stages.