Agent Ops
Agent Ops guides
The problems teams hit when agents and AI-built software reach production, and what to do about each one.
AI-Generated Code Production Incidents: Causes and Fixes
Why AI-generated code passes review and breaks in production
AI-written code reads clean in review and fails under real data, traffic, and dependencies. Where it breaks, how to catch it before release, and how a readiness review works.
Vibe-Coded App Production Readiness Review
Is your AI-built app ready for production?
Built your app with Lovable, Bolt, Cursor, or Claude Code? The security, data, and reliability gaps to close before real users arrive, and when to fix versus rebuild.
AgentOps: Running AI Agents in Production
Who runs your AI agents in production? AgentOps explained
AgentOps is site reliability engineering for AI agents: monitoring, incident response, release and rollback of prompts and models, cost, and an audit trail of what each agent did.
AI Agent Cost Control and AI FinOps
How to control what your AI agents spend
Token-cost attribution, per-run budgets, model routing, caching, and loop detection: practical AI FinOps for teams whose agent bills grow faster than usage.
AI Agent Pilot to Production: A Practical Checklist
How to take an AI agent from pilot to production
Why AI agent pilots stall, and the production checklist: evaluation sets, least-privilege integrations, human approval, audit logs, staged rollout, on-call, and cost budgets.
AgentOps and AI SRE Engineer on Contract (EU)
Can't hire an SRE for AI agents? Contract AgentOps from the EU
The AgentOps role is new and rarely has its own title. How to get experienced SRE and agent operations capacity on B2B contract from an EU company while you decide whether to hire.
AgentOps Case Study: Our Nightly Agent Pipeline
Case study: how we run our own AI agents every night
A real AgentOps setup: AI agents that update docs, review and fix code until clean, and report every morning, with tests as the gate and no unattended pushes or deploys.