Engineering Reference Guides
Built for Production
Step-by-step tactical guides derived from real enterprise deployments. From cloud cost optimization to AI infrastructure — find the answer, ship the fix.
Engineering Categories
Cloud Architecture
AWS, Azure, GCP infrastructure patterns, cost optimization, and migration playbooks.
55 guides →Cloud Engineering
Landing zones, disaster recovery, edge computing, and multi-cloud networking.
54 guides →Data Engineering
ETL pipelines, data lakes, streaming architectures, and analytics platforms.
62 guides →Data Science
Statistics, machine learning models, experiment design, and data analysis methods.
54 guides →AI & Machine Learning
LLM deployment, model serving, MLOps pipelines, and AI infrastructure.
65 guides →AI Engineering
RAG systems, guardrails, prompt engineering, and production AI patterns.
53 guides →Security
Zero trust, identity management, secrets handling, and threat modeling.
54 guides →Compliance & Governance
SOC 2, ISO 27001, policy-as-code, and automated evidence collection.
49 guides →Software Engineering
Architecture patterns, API design, microservices, and code quality.
65 guides →Backend Engineering
Server design, rate limiting, caching, health checks, and graceful degradation.
49 guides →Frontend Engineering
Performance budgets, container queries, animations, i18n, and micro-frontends.
49 guides →Mobile Engineering
Cross-platform development, app security, certificate pinning, and mobile CI/CD.
53 guides →DevOps & CI/CD
GitOps, pipeline automation, infrastructure as code, and deployment strategies.
64 guides →Site Reliability Engineering
SLOs, incident management, observability, chaos engineering, and toil reduction.
57 guides →Platform Engineering
Internal developer platforms, self-service infra, and service catalogs.
50 guides →ERP & Enterprise
D365 F&O, Power Platform, enterprise integrations, and business process automation.
51 guides →Database Engineering
PostgreSQL, SQL Server, NoSQL, performance tuning, and migration strategies.
55 guides →Networking
BGP, DNS, latency optimization, network observability, and traffic analysis.
48 guides →FinOps
Cloud cost optimization, billing analysis, tagging strategies, and Kubernetes cost allocation.
53 guides →Automation
Workflow automation, toil elimination, scripting, and infrastructure orchestration.
49 guides →Testing & QA
Mutation testing, visual regression, chaos testing, and test strategy design.
48 guides →Engineering Leadership
ADRs, technical interviews, team topology, and engineering management patterns.
54 guides →General Guides
Cross-cutting engineering guides that span multiple domains.
15 guides →Reference
Quick-reference tables, cheat sheets, and command lookups.
25 guides →Start Here
AI Agent Orchestration
Design and build AI agent systems that coordinate multiple LLM calls to solve complex tasks. Covers agent architectures, tool use, planning loops, memory management, error recovery, and the patterns that make multi-step AI workflows reliable.
Read guide → AI EngineeringAI Agent Tool Selection Optimization
Production-ready guide covering ai agent tool selection optimization with implementation patterns, code examples, and anti-patterns for enterprise engineering teams.
Read guide → AI EngineeringAI Agent Architecture
Design and build autonomous AI agents that can plan, reason, and take action. Covers agent loops, tool use, memory systems, multi-agent orchestration, guardrails, and the patterns that make AI agents reliable and controllable.
Read guide → AI EngineeringAI Agent Orchestration: Building Multi-Agent Systems That Actually Work
Architectural patterns for orchestrating AI agents — routing, chaining, delegation, tool use, memory systems, and reliability engineering for production agent deployments.
Read guide → AI EngineeringAI Agent Memory Architecture Design Patterns
Production-ready guide covering ai agent memory architecture design patterns with implementation patterns, code examples, and anti-patterns for enterprise engineering teams.
Read guide → AI EngineeringEnterprise RAG Pipeline Design and Optimization
How to build production-grade RAG pipelines for enterprise knowledge systems. Covers chunking strategies, hybrid search, reranking, context management, and evaluation methodologies.
Read guide →Part of Something Bigger
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