Productivity Impact
AI-assisted developers write code 30-55% faster, with fewer bugs and better documentation. Code review, debugging, and test writing benefit most from AI assistance.
Source Code DLP
Without DLP, developers may paste proprietary source code into AI prompts. Content filtering should detect and block: proprietary algorithms, API keys in code, internal system architecture details, and trade secrets.
Multi-Model for Code
Different coding tasks need different models: Claude Sonnet for complex reasoning, GPT-4o for general coding, DeepSeek for cost-effective assistance, and local Llama for maximum privacy.
Cost Management
Engineering teams can be heavy AI users. Set per-developer or team budgets, route routine code assistance to cheaper models, and reserve premium models for complex architecture and debugging tasks.
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