AI Engineering in Practice9 min read
pip vs uv vs poetry for Python AI services
Which Python dependency manager for production agent services? Install speed, lockfiles, and Docker build times of pip, uv, and poetry compared.
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AI Engineering in Practice
Hands-on projects and practical tutorials for building real-world AI applications. Step-by-step guides from concept to production deployment.
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40 posts in total
AI Engineering in Practice8 min read
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 Engineering in Practice8 min read
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.
AI Engineering in Practice9 min read
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.
AI Engineering in Practice8 min read
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.
AI Engineering in Practice8 min read
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.
AI Engineering in Practice8 min read
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 Engineering in Practice8 min read
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.
AI Engineering in Practice8 min read
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.
AI Engineering in Practice8 min read
Docker build errors: troubleshooting AI service Dockerfiles
How to fix the 5 common Docker build errors in AI service Dockerfiles. apt-get failures, wheel builds, layer cache misses, and the silent bugs.
AI Engineering in Practice7 min read
FastAPI CORS for production agentic APIs
How to configure CORS for a production agentic API without wildcard origins. The allowlist, the credentials flag, and the preflight that breaks SSE.
AI Engineering in Practice8 min read
FastAPI lifespan for agentic services: startup and shutdown
Why FastAPI lifespan is the only right place for agent startup code. Per-worker initialization, ordered teardown, and the bugs it kills.