AI Engineering in Practicepip vs uv vs poetry for Python AI servicesWhich Python dependency manager should you use for production agent services in 2026? The install speed, lockfile story, and Docker build times compared.PythonAI AgentsProduction AI+2 moreRead Article9 min
AI Engineering in PracticeRetry patterns for LLM API errors in productionHow 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 AgentsError HandlingResilience+2 moreRead Article8 min
LLM EngineeringPydantic output structuring for RAG agent plansHow to use Pydantic models to force your RAG planner LLM to return structured steps. The schema, the retry loop, and why plain JSON prompts break in production.RAGPydanticStructured Output+2 moreRead Article8 min
LLM EngineeringQuery rewriting in RAG with LLMs: the rewrite loopHow LLM-powered query rewriting fixes vague user questions before retrieval. The prompt, the multi-query fan-out, and when rewriting hurts more than helps.RAGLLMPrompt Engineering+2 moreRead Article8 min
AI Engineering in PracticeReal-time agent debugging with Langfuse tracesHow 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.ObservabilityAI AgentsProduction AI+2 moreRead Article8 min
AI Engineering in PracticeAgent cost optimization from trace dataHow 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.ObservabilityAI AgentsProduction AI+2 moreRead Article9 min
AI Engineering in PracticeLangfuse + Grafana: agentic AI monitoringHow to combine Langfuse traces with Grafana dashboards for agent monitoring. The integration, the panels, and the alerting that catches real problems.ObservabilityAI AgentsProduction AI+2 moreRead Article8 min
AI Engineering in PracticePrometheus performance analysis for agentic AI systemsHow Prometheus metrics surface performance bottlenecks in agentic AI. The 3 queries, the alert rules, and the dashboard that finds hot loops fast.ObservabilityAI AgentsProduction AI+2 moreRead Article8 min
AI Engineering in PracticeStress testing agentic AI systems beyond the laptopHow to stress test an agentic AI service before it ships. Concurrency, tokens, latency budgets, and the load profile that simulates real traffic.AI AgentsProduction AISystem Design+2 moreRead Article8 min