AI
AI Governance • Jul 10, 2026
Team Workflow: AI governance workflow
How engineering, product, and operations teams should collaborate. how teams define ownership, review paths, and measurable risk controls
Articles
AI engineering notes from real workflow work
Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.
LL
LLM Engineering • Jul 09, 2026
Scaling Notes: tool-calling reliability
How the workflow changes as traffic, users, or data volume grows. how to validate tool arguments, retries, failures, and side effects
SE
Search Engineering • Jul 09, 2026
Tooling Map: search relevance engineering
A map of useful tools, libraries, and platform decisions. how lexical, vector, hybrid, and reranked search combine
DE
Developer Tools • Jul 09, 2026
DropTicks Field Notes: AI coding workstations
Opinionated engineering notes for practical AI and software delivery. how skills, MCP, review loops, and tests improve software delivery
LO
Local AI • Jul 09, 2026
Implementation Checklist: local LLM prototyping
A practical checklist for building and reviewing the workflow. how local models support demos, privacy-sensitive tests, and offline workflows
DE
DevOps and CI/CD • Jul 08, 2026
Evaluation Strategy: AI-aware deployment pipelines
How to measure quality, reliability, and operational readiness. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together
AI
AI Governance • Jul 08, 2026
Deployment Playbook: AI governance workflow
How to prepare the workflow for CI/CD and production operations. how teams define ownership, review paths, and measurable risk controls
LL
LLM Engineering • Jul 08, 2026
Tooling Map: tool-calling reliability
A map of useful tools, libraries, and platform decisions. how to validate tool arguments, retries, failures, and side effects
SE
Search Engineering • Jul 08, 2026
Team Workflow: search relevance engineering
How engineering, product, and operations teams should collaborate. how lexical, vector, hybrid, and reranked search combine
DE
Developer Tools • Jul 07, 2026
Scaling Notes: AI coding workstations
How the workflow changes as traffic, users, or data volume grows. how skills, MCP, review loops, and tests improve software delivery
LO
Local AI • Jul 07, 2026
Architecture Guide: local LLM prototyping
A system-design view for planning production implementation. how local models support demos, privacy-sensitive tests, and offline workflows
DE
DevOps and CI/CD • Jul 07, 2026
Common Failure Modes: AI-aware deployment pipelines
The mistakes teams should identify before launch. how deployment pipelines should handle prompts, evals, migrations, secrets, caches, queues, and scheduled AI jobs together