Writing
Use the archive to judge how I think. The writing covers product engineering, Rails, frontend systems, AI tooling, and the tradeoffs behind shipping work that matters.
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Building Your Personal Brand on GitHub: A Practical Guide
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Your GitHub profile is more than a code repository—it's your professional portfolio. Learn how to leverage GitHub's features to build a personal brand that attracts opportunities.
OpenClaw is an open-source agent runtime that connects LLMs to tools, files, and channels. Here is what it enables and where it fits.
A practical architecture guide for production AI agents: tool calling, memory, evaluation, tracing, and guardrails for reliable automation.
How I helped ship a Ukrainian version of ruby-lang.org, what the contribution process looked like, and why the locale details mattered.
A first look at Ruby 4.0.0, including Ruby Box, ZJIT, Ractor updates, and the practical implications for Ruby teams.
Agentic AI is pushing LLMs beyond chat into planning, tool use, and execution. Here is what that shift means for software teams and delivery.
Practical prompt engineering for AI coding tools, including techniques for clearer specs, better outputs, and less time lost on bad generations.
A look at how developers are using GitHub Copilot, ChatGPT, and similar tools to write code faster, review output, and change delivery habits.
How I replaced scheduling SaaS with a custom Next.js and Google Calendar booking flow, including timezone handling, API design, and deployment.
How GPT-5 changes coding, debugging, documentation, learning, and collaboration for software teams.
What vibe coding means, where AI coding tools help, and the guardrails teams need before turning prompt-led coding into production work.
What MCP does in Cursor IDE, which plugins matter most, and how developers can use live tools and context without leaving the editor.
A practical guide to the tech stack, team, budget, roadmap, and monetization decisions behind a global social media product.
A technical look at Rails 8 authentication, how it compares with Devise, and where the native approach fits well or falls short.
A practical guide to AI integration: how to choose use cases, prepare your stack, manage risk, and scale adoption without hype.
The recurring challenges for growing SaaS companies: stability vs. innovation, legacy modernization, agile change, and hiring strong engineers.
How to design SaaS products around AI from day one, choose the right workflows, and avoid bolting intelligence onto the wrong parts of the product.