Guide Articles

Step-by-step guides and tutorials for AI tools, frameworks, and implementations. Practical how-to content for developers and practitioners.

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MAX reviewing LLM cost metrics with model tier routing splits and prompt cache hit rates on monitoring screens
MAX guide 15 min

Model Tiering vs. Prompt Caching: When to Route to Cheaper LLMs and When Caching Pays Off

Model Tiering vs. Prompt Caching: When to Route to Cheaper LLMs and When Caching Pays Off TL;DR

Max at a terminal reviewing LLM trace spans and cost alerts in a dark high-tech office environment
MAX guide 13 min

Prompt Regression Detection, Cost Alerts, and Eval Pipelines: Advanced LLM Observability Patterns in 2026

Prompt Regression Detection, Cost Alerts, and Eval Pipelines: Advanced LLM Observability Patterns in …

Evaluation pipeline diagram showing LLM A/B test variants scored by an automated quality judge alongside latency and cost
MAX guide 15 min

LLM-as-Judge vs Human Raters: Scoring A/B Tests Across Prompt Quality, Latency, and Cost

LLM-as-Judge vs Human Raters: Scoring A/B Tests Across Prompt Quality, Latency, and Cost TL;DR

Decision matrix showing MLflow, W&B, SageMaker, and DVC model registry options mapped to team size and stack
MAX guide 16 min

MLflow vs W&B vs SageMaker vs DVC: Choosing the Right Model Registry for Your ML Stack in 2026

MLflow vs W&B vs SageMaker vs DVC: Choosing the Right Model Registry for Your ML Stack in 2026 …

Dashboard showing LLM model routing traffic split across providers with cost and latency metrics
MAX guide 15 min

Model Routing for Cost, Fallback, and Latency Control with OpenRouter and Portkey in 2026

Model Routing for Cost, Fallback, and Latency Control with OpenRouter and Portkey in 2026 TL;DR

vLLM load testing pipeline diagram with TTFT, ITL, and throughput metrics across concurrency levels and traffic shape
MAX guide 15 min

How to Load Test an LLM Deployment with vLLM Benchmark Suite and GenAI-Perf in 2026

How to Load Test an LLM Deployment with vLLM Benchmark Suite and GenAI-Perf in 2026 TL;DR

Schematic of an LLM context window divided into labeled budget zones: system prompt, history, retrieved docs, output
MAX guide 15 min

How to Manage LLM Context in Production: Prompt Caching, Memory API, and Token Budget Patterns

How to Manage LLM Context in Production: Prompt Caching, Memory API, and Token Budget Patterns TL;DR …

MLflow model registry workflow showing alias-based model promotion and CI/CD webhook integration
MAX guide 12 min

How to Set Up a Model Registry with MLflow and DVC for Reproducible ML Deployments in 2026

How to Set Up a Model Registry with MLflow and DVC for Reproducible ML Deployments in 2026 TL;DR

LLM API cost control spec showing model routing tiers, batch API workflows, and budget enforcement layers in production
MAX guide 16 min

How to Cut LLM API Costs with Model Routing, Prompt Caching, and Batch APIs Using LiteLLM in 2026

How to Cut LLM API Costs with Model Routing, Prompt Caching, and Batch APIs Using LiteLLM in 2026 …

Production LLM gateway architecture diagram showing fallback routing chains between multiple AI providers
MAX guide 14 min

How to Deploy LiteLLM or Portkey as a Production LLM Gateway with Fallback Chains in 2026

How to Deploy LiteLLM or Portkey as a Production LLM Gateway with Fallback Chains in 2026 TL;DR

MAX reviewing an LLM trace waterfall on dual monitors, blue screen glow highlighting span costs and latency
MAX guide 15 min

How to Instrument a Production LLM App with Langfuse and LangSmith Step by Step in 2026

How to Instrument a Production LLM App with Langfuse and LangSmith Step by Step in 2026 TL;DR

LLM A/B testing pipeline diagram showing traffic split between two prompt variants feeding into a scoring dashboard
MAX guide 14 min

How to Build an LLM A/B Testing Pipeline with Braintrust, Langfuse, and Promptfoo in 2026

How to Build an LLM A/B Testing Pipeline with Braintrust, Langfuse, and Promptfoo in 2026 TL;DR

LLM observability pipeline diagram with trace collection, cost attribution, and compliance audit layers
MAX guide 16 min

How to Build an LLM Logging Pipeline with Langfuse, MLflow, and OpenTelemetry in 2026

How to Build an LLM Logging Pipeline with Langfuse, MLflow, and OpenTelemetry in 2026 TL;DR

Diagram of multi-provider LLM routing with automatic failover tiers, retry paths, and cooldown triggers
MAX guide 14 min

How to Build Multi-Provider LLM Failover with LiteLLM, Portkey, and Tenacity in 2026

How to Build Multi-Provider LLM Failover with LiteLLM, Portkey, and Tenacity in 2026 TL;DR

Three-tier self-hosted model routing stack: complexity-based dispatch to fast, standard, and reasoning model tiers
MAX guide 15 min

How to Build a Self-Hosted Model Router with LiteLLM, Bifrost, and Braintrust in 2026

How to Build a Self-Hosted Model Router with LiteLLM, Bifrost, and Braintrust in 2026 TL;DR

Workflow for building an LLM-as-a-judge eval: rubric, judge model selection, and calibration against human scores
MAX guide 13 min

How to Build an LLM-as-a-Judge Eval with DeepEval, Braintrust, and Atla Selene in 2026

How to Build an LLM-as-a-Judge Eval with DeepEval, Braintrust, and Atla Selene in 2026 TL;DR

Routing three LLM benchmarks to the correct evaluation harness: MMLU-Pro, GPQA, and SWE-bench in 2026
MAX guide 13 min

How to Benchmark an LLM on MMLU-Pro, GPQA, and SWE-bench with lm-evaluation-harness in 2026

How to Benchmark an LLM on MMLU-Pro, GPQA, and SWE-bench with lm-evaluation-harness in 2026 TL;DR

Decomposition workflow for generating privacy-safe synthetic tabular data with open-source and platform tools
MAX guide 13 min

How to Generate Synthetic Data with SDV, Gretel, and MOSTLY AI in 2026

How to Generate Synthetic Data with SDV, Gretel, and MOSTLY AI in 2026 TL;DR

Active learning loop linking query strategy, label-error detection, and human annotation stages for efficient data labeling
MAX guide 13 min

How to Build an Active Learning Loop with modAL, Cleanlab, and Prodigy in 2026

How to Build an Active Learning Loop with modAL, Cleanlab, and Prodigy in 2026 TL;DR

Decision map for choosing datasketch, text-dedup, or NeMo Curator to deduplicate an LLM training corpus by scale
MAX guide 14 min

How to Deduplicate a Training Corpus with text-dedup, datasketch, and NeMo Curator in 2026

How to Deduplicate a Training Corpus with text-dedup, datasketch, and NeMo Curator in 2026 TL;DR

Data preprocessing pipeline routing numeric and categorical columns through a scikit-learn ColumnTransformer to prevent
MAX guide 11 min

Building a Data Preprocessing Pipeline with scikit-learn, pandas, and Feature-engine in 2026

Building a Data Preprocessing Pipeline with scikit-learn, pandas, and Feature-engine in 2026 TL;DR

Spec map routing image, text, and audio transforms through label-preserving augmentation rules
MAX guide 12 min

How to Augment Image, Text, and Audio Data with Albumentations, nlpaug, and AugLy in 2026

How to Augment Image, Text, and Audio Data with Albumentations, nlpaug, and AugLy in 2026 TL;DR

Data labeling pipeline architecture with an active learning loop routing uncertain samples to human annotators
MAX guide 13 min

How to Build a Data Labeling Pipeline with Label Studio, Labelbox, and Active Learning in 2026

How to Build a Data Labeling Pipeline with Label Studio, Labelbox, and Active Learning in 2026 TL;DR …

Diagram of a training data quality pipeline: curate samples, label with weak supervision, then audit labels for errors
MAX guide 12 min

How to Build a Training Data Quality Pipeline with Cleanlab, Snorkel, and Lightly in 2026

How to Build a Training Data Quality Pipeline with Cleanlab, Snorkel, and Lightly in 2026 TL;DR

Refactoring priority board ranking code hotspots beside a CI/CD quality gate blocking a failing merge request.
MAX guide 13 min

How to Prioritize Refactoring and Set Up Debt Quality Gates with SonarQube and CodeScene in 2026

How to Prioritize Refactoring and Set Up Debt Quality Gates with SonarQube and CodeScene in 2026 …

AI agents reviewing pull requests and prioritizing tests inside a CI/CD pipeline
MAX guide 13 min

How to Add AI Test Prioritization and Pull-Request Code Review to Your CI/CD Pipeline in 2026

How to Add AI Test Prioritization and Pull-Request Code Review to Your CI/CD Pipeline in 2026 TL;DR

Four-part self-hosted code LLM stack: model, Ollama server, VS Code client, and a LoRA fine-tune loop on local hardware
MAX guide 12 min

How to Self-Host and Fine-Tune a Code LLM with Qwen3-Coder, DeepSeek Coder, and Ollama in 2026

How to Self-Host and Fine-Tune a Code LLM with Qwen3-Coder, DeepSeek Coder, and Ollama in 2026 TL;DR …

AI gating deployments, quarantining flaky tests, and triaging failed CI/CD pipeline runs
MAX guide 13 min

Using AI for Deployment Risk, Flaky-Test Quarantine, and Pipeline Root-Cause Analysis

Using AI for Deployment Risk, Flaky-Test Quarantine, and Pipeline Root-Cause Analysis TL;DR

Decision matrix mapping four AI coding agents to interactive, autonomous, and migration workflows
MAX guide 15 min

How to Choose and Use Claude Code, Codex, Cursor, and Devin for Real Engineering Work in 2026

How to Choose and Use Claude Code, Codex, Cursor, and Devin for Real Engineering Work in 2026 TL;DR

Architect's blueprint routing CLAUDE.md, AGENTS.md, and Cursor rule files into AI coding agent terminals.
MAX guide 14 min

How to Engineer Code Context with CLAUDE.md, .cursorrules, and AGENTS.md in 2026

How to Engineer Code Context with CLAUDE.md, .cursorrules, and AGENTS.md in 2026 TL;DR