Vertical vs Horizontal Scaling: Choosing How to Grow
Scaling a system isn’t always as simple as adding more resources. As your application grows, the way you scale can have a major impact on performance,…
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AI systems, platform engineering and architecture. Lessons from 13+ years of building at scale.
Scaling a system isn’t always as simple as adding more resources. As your application grows, the way you scale can have a major impact on performance,…
Jev reached nearly 13% of paid AI Gateway teams unusually fast. Here is what that adoption curve means…
MCP standardizes how apps expose tools, resources, and prompts to LLMs. This guide covers architecture, security, and working…
The model is the brain; the harness is the room it works in. A field guide to loops,…
Evaluate AI image models with a concrete rubric: adherence, edits, typography, licensing, ops. Then compare GPT Image, Gemini,…
Build your first LangChain app with chains, prompts, and LCEL. Opinionated guidance on when a framework helps and…
Ship Claude Skills past the demo: eval loops, versioning, shared repos, and the under/over-trigger failures that show up…
Claude Skills as the conductor over MCP tools: data pass-off, validation gates, and multi-step workflows that do not…
Progressive disclosure keeps Claude focused: metadata first, then instructions, then references. Part 3 covers the logic layer and…
A Claude Skill is a directory: meta.yaml for triggers, SKILL.md for instructions, and references for deep context. Part…
Claude Skills turn one-off prompts into versioned folders your team can share. Part 1 covers why the blank-prompt…
Practical Technical SEO for 2026: INP/LCP/CLS, schema and entities, mobile indexing, IndexNow, bot policy, and a concrete GEO…