Runtime Validation vs Static Analysis: Why You Need Both
Static analysis catches code smells. Runtime validation catches behavioral failures. Enterprise teams adopting AI coding tools need both to ship safely.
Posts about ai/ml
Browse 33 posts in this category
Speedscale Named in Gartner® Market Guide for API Testing
Speedscale is a Representative Vendor in the Gartner Market Guide for API and MCP Testing Tools. See how traffic replay modernizes testing.
How AI Coding Is Breaking Synthetic Data Generation
AI codingagents are accelerating the breakdown of synthetic data generation approaches.
Why Your Company Will Be Running OpenClaw Next Year
OpenClaw is the new model for AI agents in the enterprise. Here's why it's a security nightmare and who's building the governed version.
Silent Failures: Why AI Code Breaks in Production
AI-generated code compiles clean but breaks in production. Learn why static analysis misses behavioral failures and how runtime validation catches them.
What AI Has Never Seen: The Context Gap in Code Generation
AI coding tools generate code from docs and examples—but they've never seen your production traffic. Here's what breaks AI-generated code.
Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes
Use traffic replay via MCP to create a tight feedback loop for AI coding agents, preventing hallucinated success by validating against immutable.
The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs.
AI Prediction for 2026
Explore 5 bold AI predictions for 2026. From the burst of the AI bubble to the rise of 'vibe coding' and agentic workflows, discover why the future of.