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.
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AI coding tools generate code from docs and examples—but they've never seen your production traffic. Here's what breaks AI-generated code.
After spending hours or even days manually testing your software, you may be wondering whether or not there's a better way. The good news? There is.
Measuring throughput and latency is a critical step in load testing software to ensure application performance and stability. In this article...
Non-production environments cost 20-40% of cloud bills. Digital twin testing delivers 9x ROI through infrastructure, incident, and efficiency savings.
See how to get visibility into your Kubernetes workloads and run realistic load tests without writing YAML files or kubectl commands.
Claude is one of the go-to AI-native code editors for developers. It provides a smooth and simple chat-based CLI that is easy to understand. But this blog aims to help answer what API calls are going on under the hood and what data is being sent.
Tired of Staging environments that don't match Prod? Learn how Speedscale's Digital Twin, built from real production traffic, solves dependency nightmares, data dilemmas, and configuration drift to ensure your software and AI systems are tested against reality, not assumptions.
Learn how to test your React frontend without running backend services. Record real API traffic and mock responses for faster development, reliable testing, and offline coding. Step-by-step guide with proxymock.
Claude Code can write features and fix bugs, but proxymock traffic snapshots give me the integration tests, replays, and observation diffs required to ship confident backend changes.