Beyond AI Vibes: Deterministic Foundations for Agentic Coding
AI coding adoption is high and trust is dropping. A testing pyramid for agents, plus reproducible production context that grounds AI in real behavior.
Posts about ai/ml
Browse 32 posts in this category
Why Autonomous AI Agents Can't Run on SaaS Infrastructure
SaaS AI fails when agents need continuous access to your codebase and internal APIs. Here's why BYOC is the only deployment model that works at scale.
Why You Should Stop Buying SaaS and Start Building It
LLMs have collapsed the cost of custom internal tools. Here's the startup distribution problem I've watched kill companies — and how I vibe-coded my way out.
The Hidden AI Bill: Why Non-Prod LLM Costs Spiral
Production AI spend gets attention. Non-prod LLM calls in development, CI, and load tests often do not. Simulation fixes that.
Prompt, Deploy, Pray Is Dead: Validating AI Code with Proxymock
AI-generated code is moving fast—but without behavioral validation, you're gambling with production stability. See how Proxymock changes the equation.
AI Coding Agents Have a UX Problem Nobody Wants to Talk About
Fast mode or deep mode? Haiku or Opus? Cursor or Claude Code? The decision fatigue from AI coding tools is killing the productivity they promised.
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.
Speedscale Launches proxymock OpenClaw Skill on ClawHub
Speedscale launches proxymock as an OpenClaw skill on ClawHub, bringing traffic replay and production context to Claude for improved reliability.
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.