Assisted Coding (辅助编码)

AI serves as a coding assistant integrated into daily development, with developers leading and AI providing real-time assistance.

Description

Developers use AI plugins in their IDE for code completion, error fixing, and basic test generation. AI achieves basic observe-act-feedback loops through IDE plugins, sensing current file context. Traditional linters and formatters work alongside AI assistance, with humans responsible for identifying AI hallucinations.

This is the stage where most teams adopting AI coding tools currently reside.

Key Signals

• ✓ Team uniformly uses Copilot or similar IDE plugins
• ✓ AI completion acceptance rate becomes a trackable metric
• ✓ Basic AI code review process established

Key Investments

• → Unified procurement and deployment of IDE AI plugins
• → Configure code standards and linter rules
• → Establish review checklist for AI-generated code
• → Train team to identify and handle AI hallucinations

Metrics

• 📊 AI code completion acceptance rate (target >25%)
• 📊 Percentage of developers using AI-assisted coding
• 📊 Quality issue rate in AI-generated code
• 📊 Development efficiency improvement percentage

Next Level

When your team has established consistent AI-assisted workflows and quality processes, you're ready for Structured AI Coding, where AI generates complete modules from specifications.