Skip to main content
Watch: I Built an AI App Without Leaving Databricks

PRODUCTION

11 items

11 posts

Blog
Self-Hosted vs Managed AI Gateways: A Decision Guide

Self-host LiteLLM or Kong, or use a managed gateway like Portkey, OpenRouter, or Cloudflare AI Gateway? A factual breakdown of cost, control, and ops tradeoffs.

Blog
LLM Routers Compared: LiteLLM vs Portkey vs OpenRouter in 2026

A practical comparison of LLM routing tools - LiteLLM, Portkey, and OpenRouter - covering cost management, fallbacks, caching, and when to use each for production AI applications.

Blog
Agent Architecture: Building Multi-Step AI Workflows That Survive Production

A practical architecture for multi-step Claude agents. Loop patterns, state management, error recovery, and the production gotchas that turn a five-step demo into a 20 percent success rate at scale.

Blog
OpenAI Agents SDK Evolution: What Ships in Production

Configurable memory, sandbox-aware orchestration, Codex-like filesystem tools. Here is how the new Agents SDK actually behaves in prod.

Blog
Claude API Reliability: Error Handling Best Practices

The defensive patterns that keep Claude integrations alive in production. Retry shapes, backoff with jitter, circuit breakers, fallback chains, and the observability you need to debug at 3am.

Blog
GPT-5.4 for Developers: The Production Guide

GPT-5.4 ships state-of-the-art computer use, steerable thinking, and a million-token window. Here is the implementation guide for builders, with real OpenAI SDK code, the 272K pricing cliff, and where it actually beats 5.3 and 5.5 in production.

Blog
GPT-5.5-Codex in Production: What Actually Changes

GPT-5.5-Codex merges Codex and GPT-5 stacks. Here is what the unified model means for real coding agents - latency, costs, prompt rewrites.

Blog
GPT-5.5 for Developers: A Production Field Guide

GPT-5.5 and 5.5 Pro hit the API on April 24. Here is what changes for builders: pricing, agentic tasks, tool-use, and the real benchmarks I ran the day it dropped.

Blog
OpenAI Privacy Filter: Production PII Redaction Guide

OpenAI shipped an open-weight PII redactor. Here is how to wire it into a real ingestion pipeline locally, fast, with zero leaks, and how it benchmarks against Presidio and a regex baseline.

Blog
RAG with Claude: Add Context Without Retraining

A production-grade RAG pipeline with Claude. Chunking that survives real documents, retrieval tuning that actually moves the needle, citation tracking, and the prompt caching trick that makes RAG cheap enough to ship.

Blog
The Agent Reliability Cliff: Why Your 10-Step Chain Only Succeeds 20% of the Time

The math of agent pipelines is brutal. 85% reliability per step compounds to about 20% at 10 steps. Here is why long chains collapse in production, and the six patterns the field has converged on to fight the decay.

AI Development Stack

Get Smarter About AI Dev

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.

One email per weekReal code, not theoryFree forever