Articles

AI engineering notes from real workflow work

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

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Vector Search • Mar 25, 2026

Tooling Map: vector database selection

A map of useful tools, libraries, and platform decisions. how to choose vector stores for retrieval workloads and product constraints

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OP
Operations • Mar 25, 2026

Team Workflow: production incident review

How engineering, product, and operations teams should collaborate. how teams convert outages and AI failures into tests and playbooks

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SE
Security • Mar 25, 2026

Scaling Notes: secure secret handling

How the workflow changes as traffic, users, or data volume grows. how deployment workflows preserve secrets and avoid accidental exposure

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ML
ML Engineering • Mar 25, 2026

Architecture Guide: fine-tuning workflows

A system-design view for planning production implementation. how to prepare data, choose adapters, test outputs, and track model versions

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DevOps • Mar 24, 2026

Common Failure Modes: container hardening

The mistakes teams should identify before launch. how to package application runtimes without leaking secrets or state

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FR
Frontend Engineering • Mar 24, 2026

Security Review: design systems for AI products

The security and permission concerns that should be reviewed. how reusable components keep AI workstations consistent

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VE
Vector Search • Mar 24, 2026

Team Workflow: vector database selection

How engineering, product, and operations teams should collaborate. how to choose vector stores for retrieval workloads and product constraints

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OP
Operations • Mar 24, 2026

Deployment Playbook: production incident review

How to prepare the workflow for CI/CD and production operations. how teams convert outages and AI failures into tests and playbooks

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SE
Security • Mar 23, 2026

Tooling Map: secure secret handling

A map of useful tools, libraries, and platform decisions. how deployment workflows preserve secrets and avoid accidental exposure

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LL
LLM Infrastructure • Mar 23, 2026

DropTicks Field Notes: self-hosted inference

Opinionated engineering notes for practical AI and software delivery. how to serve open models with throughput, batching, and cost control

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DevOps • Mar 23, 2026

Implementation Checklist: container hardening

A practical checklist for building and reviewing the workflow. how to package application runtimes without leaking secrets or state

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FR
Frontend Engineering • Mar 22, 2026

Evaluation Strategy: design systems for AI products

How to measure quality, reliability, and operational readiness. how reusable components keep AI workstations consistent

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