Articles

AI engineering notes from real workflow work

Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.

FR
Frontend Engineering • Mar 05, 2026

Common Failure Modes: frontend performance budgets

The mistakes teams should identify before launch. how to keep interactive AI pages fast, accessible, and stable

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RA
RAG • Mar 05, 2026

Security Review: RAG source quality

The security and permission concerns that should be reviewed. how document quality, chunking, metadata, and citations affect answer quality

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AI
AI Security • Mar 05, 2026

Evaluation Strategy: AI safety guardrails

How to measure quality, reliability, and operational readiness. how validation, policies, refusals, and human approval reduce risk

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SO
Software Engineering • Mar 05, 2026

Deployment Playbook: software architecture reviews

How to prepare the workflow for CI/CD and production operations. how to evaluate coupling, boundaries, state, and failure modes

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LO
Local AI • Mar 04, 2026

Tooling Map: local LLM prototyping

A map of useful tools, libraries, and platform decisions. how local models support demos, privacy-sensitive tests, and offline workflows

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DE
DevOps and CI/CD • Mar 04, 2026

DropTicks Field Notes: AI-aware deployment pipelines

Opinionated engineering notes for practical AI and software delivery. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together

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AI
AI Systems • Mar 04, 2026

The 2026 AI Systems Stack: Agents, Tools, Context, and Evaluation

A practical map of the modern AI product stack: model calls, tool use, memory, retrieval, orchestration, evals, observability, and governance.

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FR
Frontend Engineering • Mar 04, 2026

Implementation Checklist: frontend performance budgets

A practical checklist for building and reviewing the workflow. how to keep interactive AI pages fast, accessible, and stable

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RA
RAG • Mar 04, 2026

Evaluation Strategy: RAG source quality

How to measure quality, reliability, and operational readiness. how document quality, chunking, metadata, and citations affect answer quality

Read article → Save
AI
AI Security • Mar 04, 2026

Common Failure Modes: AI safety guardrails

The mistakes teams should identify before launch. how validation, policies, refusals, and human approval reduce risk

Read article → Save
SO
Software Engineering • Mar 03, 2026

Security Review: software architecture reviews

The security and permission concerns that should be reviewed. how to evaluate coupling, boundaries, state, and failure modes

Read article → Save
LO
Local AI • Mar 03, 2026

Team Workflow: local LLM prototyping

How engineering, product, and operations teams should collaborate. how local models support demos, privacy-sensitive tests, and offline workflows

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