Your AI agent is fixing the wrong service
I tested 100 bugs across 240 microservices the model has never seen. Alert only: 51% pass rate, wrong service 34% of the time. Traffic captures: 77%.
Read the guideAI code verification guides
AI can change code faster than teams can inspect it. Production traffic gives agents the context to find the right service and gives CI a repeatable way to verify the result.
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I tested 100 bugs across 240 microservices the model has never seen. Alert only: 51% pass rate, wrong service 34% of the time. Traffic captures: 77%.
Read the guideSee how generated code fails when an agent lacks runtime context and system boundaries.
Use real API behavior to help agents find the right service and reproduce the failure.
Combine static checks with runtime replay before generated code reaches production.
The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling.
Compare Speedscale and JMeter for Kubernetes load testing. Check test setup, retained plans, dependency mocks, CI gates, and performance evidence.
How to get a first regression test for a service or endpoint with no recorded traffic: let your coding agent pick a source, then record it.
When I started at Speedscale, I looked like this: And after one year of learning, growing, keeping pace with innovation well, let’s just say the journey...
The industry is rapidly moving towards deeper AI integration than ever before. What was once simply focused on chatbots or recommendation engines has.
Discover why AI coding agents need traffic replay to bridge the gap between stochastic AI and deterministic software engineering.
Learn how to use Claude Code sub-agents to get a 'second opinion' from other LLMs and build more reliable AI applications.
It’s no longer theoretical - artificial intelligence has left research labs and entered production systems, generating a new breed of consumers.
It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions.
Test generated changes against the API behavior your applications and users already depend on.