AI Engineering in Practice

9 min

Retry patterns for LLM API errors in production

How to build retry logic that handles rate limits, timeouts, and transient failures without burning money. The backoff rules and the 3 errors you must not retry.

AI Agents Error Handling Resilience+2 more

8 min

Real-time agent debugging with Langfuse traces

How to debug a live agent incident using Langfuse traces. The search patterns, the 5-minute workflow, and the post-mortem that catches the root cause.

8 min

Agent cost optimization from trace data

How to use Langfuse trace data to find where your agent burns tokens. The 4 queries, the cost-per-user view, and the 50 percent savings patterns.

9 min

Langfuse + Grafana: agentic AI monitoring

How to combine Langfuse traces with Grafana dashboards for agent monitoring. The integration, the panels, and the alerting that catches real problems.

8 min

Prometheus performance analysis for agentic AI systems

How Prometheus metrics surface performance bottlenecks in agentic AI. The 3 queries, the alert rules, and the dashboard that finds hot loops fast.

8 min

Stress testing agentic AI systems beyond the laptop

How to stress test an agentic AI service before it ships. Concurrency, tokens, latency budgets, and the load profile that simulates real traffic.

AI Agents Production AI System Design+2 more

8 min

Docker Compose for the full AI agent stack

How to run your entire agent stack locally with Docker Compose. Postgres, Redis, the agent service, Langfuse, and the network rules that just work.

Docker AI Agents Production AI+2 more

8 min

Docker secrets management for agentic AI services

How to inject API keys and secrets into agent containers without baking them into the image. BuildKit secrets, runtime injection, and the 3 bad patterns.

Docker AI Agents Production AI+2 more