AI Dev Tools — The Crazyrouter Podcast

Epizode

• 
  EP178: AI API Load Testing — Find Capacity Before Production Does 05.10.2026 6min

  A practical guide to load testing AI APIs: model realistic workloads, separate concurrency from rate limits, protect budgets, measure accepted results, rehearse provider failures, and turn test data into capacity decisions.
• 
  EP177: AI API Streaming Backpressure — Keep Tokens Flowing Without Melting Clients 04.10.2026 7min

  A practical guide to streaming backpressure for AI APIs: bound buffers, propagate cancellation, handle slow clients, protect concurrency, resume honestly, and make token delivery observable.
• 
  EP176: AI API Tail Latency — Reduce Slow Requests Without Doubling Spend 03.10.2026 8min

  A practical guide to AI API tail latency: set end-to-end deadlines, use bounded hedging safely, distinguish retries from duplicates, protect budgets, and measure user-visible completion time.
• 
  EP175: AI API Feature Flags — Roll Out New Models Without Betting Production 02.10.2026 6min

  A practical guide to feature flags and canary routing for AI APIs: separate deployment from exposure, define cohorts, compare quality and cost, set rollback triggers, and make model changes reversible.
• 
  EP174: MCP at the AI Gateway — Ship Useful Tools Without Shipping a Security Incident 01.10.2026 6min

  A practical guide to putting Model Context Protocol tools behind an AI API gateway: capability discovery, least privilege, approval boundaries, tenant isolation, observability, and safe rollout.
• 
  EP173: AI API Contract Testing — Survive Model and Provider Churn 30.09.2026 5min

  A practical guide to AI API contract testing: define behavioral contracts, probe model capabilities, validate structured outputs, and catch provider changes before they break production workflows.
• 
  EP172: AI API Runbooks — Turn Operational Knowledge Into Fast Recovery 29.09.2026 4min

  A practical guide to AI API runbooks: document symptoms, first actions, rollback paths, escalation rules, and verification steps so operators can recover systems consistently.
• 
  EP171: AI API Governance Reviews — Keep Fast-Moving Systems Accountable 28.09.2026 4min

  A practical guide to AI API governance reviews: inventory changes, check risk, verify controls, document decisions, and keep oversight useful without blocking delivery.
• 
  EP170: AI API Usage Statements — Make Every Charge Explainable 27.09.2026 4min

  A practical guide to AI API usage statements: reconcile requests, tokens, routes, retries, and invoices so customers and teams can understand every charge.
• 
  EP169: AI API Rate Limits — Build Fair, Resilient Traffic Control 26.09.2026 4min

  A practical guide to AI API rate limits: distinguish quotas from concurrency, use bounded backoff, prioritize traffic fairly, protect budgets, and avoid retry storms.
• 
  EP168: AI API Budget Alerts — Turn Spend Surprises Into Early Signals 25.09.2026 4min

  A practical guide to AI API budget alerts: set useful thresholds, detect anomalies, separate expected growth from waste, and connect alerts to safe actions.
• 
  EP167: AI API Capacity Planning — Scale Before the Queue Becomes the Product 24.09.2026 4min

  A practical guide to AI API capacity planning: forecast demand, budget concurrency, protect latency, size queues, and preserve reliable service during bursts.
• 
  EP166: AI API Quality Gates — Stop Bad Outputs Before They Reach Users 23.09.2026 4min

  A practical guide to AI API quality gates: validate structure, ground answers, check tool actions, measure accepted results, and fail safely when outputs are not ready.
• 
  EP165: AI API Incident Response — Recover Fast Without Losing Trust 22.09.2026 4min

  A practical guide to AI API incident response: detect user-visible failures, coordinate diagnosis, control fallback traffic, communicate clearly, and turn incidents into durable improvements.
• 
  EP164: AI API Change Management — Ship Model Updates Without Breaking Workflows 21.09.2026 4min

  A practical guide to managing AI API changes: map dependencies, test behavior, stage rollouts, communicate risk, and keep rollback fast when models or providers change.
• 
  EP163: AI API Cost Attribution — Know What Each Workflow Really Costs 20.09.2026 4min

  A practical guide to attributing AI API spend across teams, tenants, models, and workflows without losing the operational context behind each request.
• 
  EP162: Human-in-the-Loop AI APIs — Escalate the Right Decisions 19.09.2026 4min

  A practical guide to human-in-the-loop AI APIs: define review thresholds, package evidence, manage queues, prevent duplicate actions, and learn from human decisions.
• 
  EP161: AI API Key Management — Rotate Credentials Without Downtime 18.09.2026 4min

  A practical guide to AI API key management: scope credentials, rotate them safely, detect leaks, preserve service continuity, and make secret ownership auditable.
• 
  EP160: Multi-Tenant AI APIs — Isolate Usage, Limits, and Reliability 17.09.2026 5min

  A practical guide to multi-tenant AI APIs: isolate data, quotas, concurrency, cost, and observability so one customer cannot degrade another customer's experience.
• 
  EP159: AI API Developer Experience — Make the First Integration Fast 16.09.2026 5min

  A practical guide to AI API developer experience: design clear onboarding, SDKs, examples, errors, observability, and migration paths that help teams reach a reliable first integration quickly.