What broke when upgrading Node.js from 20 to 24 in a production Next.js app running in Docker, and how I fixed each issue — npm@11 breaking changes, ignore-scripts, git auth in multi-stage builds.
How I fixed the bot serving outdated knowledge after GCS file updates by adding a reload endpoint, OIDC authentication, and wiring up GCS change notifications through Pub/Sub.
Deep dive into how Turbopack changed static export output in Next.js 16, why it impacts S3 upload times, and the simple fix that reduced upload time from 1m52s to 3s.
How to use Git sparse checkout with shallow clone to work with massive repos without waiting hours for a full clone.
How I built a Slack Workflow integration that lets users submit raw notes, uses Gemini AI to structure them into proper documentation, and automatically creates GitHub PRs for review.
How I added interactive feedback buttons to collect user satisfaction data, log it to BigQuery, and prevent double-clicking with visual confirmation.
Adding structured logging Python Slack bot, stream logs to BigQuery, and visualize usage with Looker Studio dashboards.
Fixing Slack retry duplicates with event deduplication, eliminating Cloud Run cold starts with min-instances, and dealing with cross-region Gemini API latency.
Embedded @font-face works in browsers but breaks in design tools. Here is how I used opentype.js to convert text to paths, making SVG exports compatible with Figma and Adobe Illustrator.
A deep dive into migrating from Pages Router to App Router, replacing next-mdx-remote with gray-matter and react-markdown. Includes analysis of markdown parsing libraries under the hood.
A comprehensive look at the challenges faced when upgrading multiple Next.js apps to version 16 with React 19 - from Recoil incompatibility to MDX issues and MUI updates.
A deep dive into how Jest and Vitest differ under the hood, from module systems and isolation to mock hoisting and timer APIs, plus practical migration tips.
A deep dive into how JVM handles memory management through garbage collection, its types, and best practices.
Designing monitors that detect only your service’s own failures, filtering out upstream noise.
Refined Datadog queries for ALB metrics, latency, unit handling, and rate computations—mistakes learned and correct patterns.
