Articles

AI engineering notes from real workflow work

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

AI
AI Security • Jun 27, 2026

Scaling Notes: MCP connector security

How the workflow changes as traffic, users, or data volume grows. how to connect tools and data sources without overexposing permissions

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LL
LLM Engineering • Jun 27, 2026

Architecture Guide: tool-calling reliability

A system-design view for planning production implementation. how to validate tool arguments, retries, failures, and side effects

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DA
Data Engineering • Jun 27, 2026

DropTicks Field Notes: data pipeline orchestration

Opinionated engineering notes for practical AI and software delivery. how batch jobs, DAGs, and transforms power reliable analytics

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DE
Developer Tools • Jun 27, 2026

Implementation Checklist: AI coding workstations

A practical checklist for building and reviewing the workflow. how skills, MCP, review loops, and tests improve software delivery

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AI
AI Systems • Jun 26, 2026

Evaluation Strategy: multimodal AI products

How to measure quality, reliability, and operational readiness. how text, image, audio, and video inputs change product architecture

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CI
CI/CD • Jun 26, 2026

Deployment Playbook: CI/CD for Laravel

How to prepare the workflow for CI/CD and production operations. how to build, test, migrate, cache, and deploy Laravel safely

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CH
ChatGPT Tips, Business Writing • Jun 26, 2026

ChatGPT Tip: Use ChatGPT For Objection Handling

Turn objections into clear, honest answers.

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AI
AI Security • Jun 26, 2026

Tooling Map: MCP connector security

A map of useful tools, libraries, and platform decisions. how to connect tools and data sources without overexposing permissions

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AI
AI Engineering • Jun 25, 2026

DropTicks Field Notes: AI engineering operating model

Opinionated engineering notes for practical AI and software delivery. how teams combine product thinking, model behavior, software architecture, testing, and operations into one AI delivery practice

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DA
Data Engineering • Jun 25, 2026

Scaling Notes: data pipeline orchestration

How the workflow changes as traffic, users, or data volume grows. how batch jobs, DAGs, and transforms power reliable analytics

Read article → Save
DE
Developer Tools • Jun 25, 2026

Architecture Guide: AI coding workstations

A system-design view for planning production implementation. how skills, MCP, review loops, and tests improve software delivery

Read article → Save
AI
AI Systems • Jun 25, 2026

Common Failure Modes: multimodal AI products

The mistakes teams should identify before launch. how text, image, audio, and video inputs change product architecture

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