Thoughts, tutorials, and insights
Agent skills make AI assistants reliable: repeatable workflows, safe defaults, and less prompt churn. Here’s how Claude Code skills and Vercel’s React rules help teams ship faster with fewer regressions.
Read More →A practical playbook for improving day-to-day delivery: connect Slack, Jira, Monday.com, and GitHub using MCP-based AI agents for notifications, triage, status sync, code review feedback loops, and automated follow-ups.
Read More →A behind-the-scenes breakdown of this portfolio: Next.js 16.1.3 App Router, next-intl (he default + /en), Sanity CMS, Clerk auth for AI chat, Resend email, and full SEO with sitemap/robots/JSON-LD — optimized for static builds.
Read More →How I ship AI chat features safely: Clerk-gated access, OpenAI ChatKit sessions, prompt/response guardrails, and performance-minded client loading in a Next.js 16 App Router codebase.
Read More →Patterns I use to keep a Next.js App Router project maintainable: strict TypeScript, CMS-driven content with Sanity, stable GROQ queries, and practical trade-offs when the CMS evolves faster than the code.
Read More →How I approach real-time UX (chat, live updates): WebSockets, auth/session boundaries, backpressure, and how to keep performance predictable in modern Next.js + Node.js systems.
Read More →A practical checklist for speeding up Postgres-backed apps: query plans, indexes, caching with Redis, and what to watch for when you run on serverless Postgres like Neon.
Read More →What I learned moving into leadership: aligning product + engineering, setting quality bars (CI/CD), mentoring, and shipping reliably while still staying hands-on technically.
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