Building Speedy: An Autonomous AI Development Agent
How we built an AI agent that implements Jira tickets, creates merge requests, and monitors them autonomously—and the iterative journey to get there.
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Latest insights on Agentic AI workflows, cloud native architectures, and performance optimization best practices from the Speedscale team.
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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.
The 6 Best Performance Testing Tools Guide
Compare the top 6 performance testing tools -- Speedscale, JMeter, Locust, Gatling, NeoLoad, and k6 -- across features, pricing, integrations, and reliability.
Oracle JDK to OpenJDK: A Guide to Reliable Migration Testing
Record production traffic on Oracle JDK, replay it on OpenJDK, and catch every regression before users do. A step-by-step Speedscale guide.
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.
DLP, Traffic Replay, and the Missing Link to Software Quality
DLP applied to production traffic enables safe observability and realistic traffic replay, closing the gap between testing and production for faster releases.
How AI Coding Is Breaking Synthetic Data Generation
AI codingagents are accelerating the breakdown of synthetic data generation approaches. Built for batch processing and monolithic databases, traditional synthetic data methods (still called 'Test Data Management' by legacy vendors) can't handle modern streaming systems—and AI is exposing these weaknesses faster than ever.
The Ultimate Stress Test: Kim Jong Un, a Parachute, and a Multi-Billion Dollar Prop Bet
From memes to market meltdowns: Explore how a multi-billion dollar Super Bowl prop bet involving Kim Jong Un pushed prediction markets and SRE teams to the brink.
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.