AI
AI Security • Mar 08, 2026
Deployment Playbook: AI safety guardrails
How to prepare the workflow for CI/CD and production operations. how validation, policies, refusals, and human approval reduce risk
Articles
AI engineering notes from real workflow work
Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.
SO
Software Engineering • Mar 08, 2026
Tooling Map: software architecture reviews
A map of useful tools, libraries, and platform decisions. how to evaluate coupling, boundaries, state, and failure modes
LO
Local AI • Mar 08, 2026
DropTicks Field Notes: local LLM prototyping
Opinionated engineering notes for practical AI and software delivery. how local models support demos, privacy-sensitive tests, and offline workflows
DE
DevOps • Mar 07, 2026
Implementation Checklist: GitOps deployments
A practical checklist for building and reviewing the workflow. how declarative deployments reduce drift and improve reviewability
RA
RAG • Mar 07, 2026
RAG Is Not Enough: Retrieval Needs Evals, Routing, and Observability
Reliable retrieval systems need measurable answer quality, retrieval quality, traces, reranking, and failure review.
FR
Frontend Engineering • Mar 07, 2026
Evaluation Strategy: frontend performance budgets
How to measure quality, reliability, and operational readiness. how to keep interactive AI pages fast, accessible, and stable
RA
RAG • Mar 07, 2026
Deployment Playbook: RAG source quality
How to prepare the workflow for CI/CD and production operations. how document quality, chunking, metadata, and citations affect answer quality
AI
AI Security • Mar 07, 2026
Security Review: AI safety guardrails
The security and permission concerns that should be reviewed. how validation, policies, refusals, and human approval reduce risk
SO
Software Engineering • Mar 06, 2026
Team Workflow: software architecture reviews
How engineering, product, and operations teams should collaborate. how to evaluate coupling, boundaries, state, and failure modes
LO
Local AI • Mar 06, 2026
Scaling Notes: local LLM prototyping
How the workflow changes as traffic, users, or data volume grows. how local models support demos, privacy-sensitive tests, and offline workflows
DE
DevOps • Mar 06, 2026
Architecture Guide: GitOps deployments
A system-design view for planning production implementation. how declarative deployments reduce drift and improve reviewability
AI
AI Integrations • Mar 06, 2026
MCP Is Becoming the Connector Layer for AI Workstations
Why Model Context Protocol matters for connecting AI agents to databases, files, SaaS tools, and company workflows.