Engineering insights from 9+ years of building at scale.
The role of tech lead has fundamentally shifted from writing code to orchestrating AI agents. Here's my framework for managing three concurrent engineering workstreams with AI teammates that never sleep.
How I implemented rate limiting and request signing to protect a fintech platform serving 400K+ users from abuse — while keeping the system reliable for legitimate traffic.
AI coding assistants didn't magically write our features—but a disciplined, three-lane workflow cut boilerplate-heavy effort by 30%. Here's exactly what worked and what didn't.
Our Node.js containers kept crashing under load despite 40% heap headroom. The culprit wasn't a memory leak — it was the allocator itself.
Discover how to integrate automated accessibility auditing tools directly into your React development workflow and CI/CD pipelines to guarantee WCAG 2.1 AA compliance before shipping code.
How we stopped relying on disjointed dashboards to debug production issues, and built a unified telemetry pipeline using SLOs, OpenTelemetry, and structured logging.
Learn how to build a local AI agent that autonomously commits code, manages versioning, and creates Pull Requests — complete with the exact system prompt and GitHub MCP setup.
A practical look at how I integrated Claude Code and GitHub Copilot into our CI/CD pipeline to automate PR creation, targeted code reviews, and quality gates — recovering 6+ hours of manual overhead per engineer, per week.
A practical guide to embedding accessibility checks directly into your CI/CD pipeline using ESLint, AI-based PR reviews, and 40+ engineering standards — so bugs never reach your users.
How we migrated ByajBook from a fragile monolith to a distributed microservices architecture on AWS ECS — cutting infra costs by 35% while keeping the lights on for 400K users.
