Anatomy of the AI Software Factory: The Context Layer
Explore the technical architecture of the AI Software Factory, focusing on tool convergence and the Unified Context Layer.
Latest insights on Agentic AI workflows, cloud native architectures, and performance optimization best practices from the Speedscale team.
Explore the technical architecture of the AI Software Factory, focusing on tool convergence and the Unified Context Layer.
Learn how VPs of Engineering must adapt org charts, engineering roles, and performance metrics to lead in the era of the AI Software Factory.
Discover why AI coding agents are breaking Agile workflows and driving the shift to an intent-based AI Software Factory.
Traffic Context is the missing piece in most debugging workflows. We ran our autonomous agent on a real production bug — it found the root cause, wrote a reproduce harness, applied the fix, and confirmed it. Here's what that looked like.
AI-generated scripts seem like a quick win, but DIY traffic replay tools become a maintenance nightmare at scale. Here's why Speedscale beats the prompt.
A marketing intern's journey from CMS drag-and-drop to running Claude in a terminal, and why validation still matters as AI speeds up development.
Export recorded proxymock traffic to Datadog Synthetics in one command. Auth headers redacted, global variables created. No scripting, no flaky journeys.
A practical hybrid workflow that uses costly LLM APIs for planning and local models (via Ollama + OpenCode) for execution, guarded by deterministic evals.
We recorded Warp traffic to see what gets sent back to the home base. Spoiler: It's everything.
UI synthetics only tell you something is broken. Traffic replay per microservice isolates failures before any human walks up. Zero scripts required.