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.
Posts about ai/ml
Browse 9 posts in this category
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.
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. 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.
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 production traffic snapshots.
The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs. Explore the hidden nature of PII in modern systems and why traditional test data approaches fall short.