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Articles, guides, and templates from real production work in AI, automation, and cloud engineering. Organized by topic so you can go deep on what matters to you.
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CareerThe Senior AI Engineer Portfolio That Actually Gets You Hired in 2026
Not another 'I built a chatbot' repo. The 4-project portfolio, the writeup format, and the interview signals that separate real senior candidates from prompt tinkerers.
BackendSLO-Driven Incident Response: From Alert Fatigue to Actual Reliability
Error budgets, burn-rate alerts, incident classification, and the post-incident review format that turns firefights into engineering.
Data EngineeringStreaming ETL With CDC and Materialized Views: Real-Time Without a New Data Stack
Debezium, Kafka, and Postgres materialized views give you sub-minute freshness without rebuilding your warehouse — here's the architecture and its trade-offs.
Topics
AI
LLMs, agents, RAG, evals, prompt engineering.
Automation
Workflow automation patterns and case studies.
n8n
n8n workflows, custom nodes, self-hosting.
Python
Backend, data engineering, and AI in Python.
Google Cloud
GCP, BigQuery, Vertex AI, and Cloud Functions.
Machine Learning
Practical ML, MLOps, and model evaluation.
Data Engineering
Warehouses, pipelines, transformations, dbt.
APIs
REST, GraphQL, webhooks, and integration patterns.
Backend
Node.js, TypeScript, PostgreSQL, and system design.
Prompt Engineering
Structured prompts, evals, and guardrails.
Career
Portfolios, interviews, and growing as an engineer.
Resource types
Deep-dive technical writing.
End-to-end how-tos with production code.
Step-by-step lessons from beginner to advanced.
n8n workflows and starter kits.
One-page references for common tasks.
Plain-language definitions for AI & automation terms.
Real projects, real trade-offs.
Structured roadmaps into a topic.
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