Writing.

Running terminal AI agents in your main repository working directory locks your editor, breaks your flow, and risks dirty file conflicts. Git worktrees give every agent an isolated branch and directory while sharing a single commit history.

SwiftUI state bugs are often user-intent bugs in disguise. Here is the model I use to keep loading, saving, errors, and navigation explicit in modern iOS 17 apps.

Writing to a local SQLite database is straightforward. Evolving that schema across 50,000 devices that sync asynchronously over months without losing un-synced user edits is where mobile architecture actually lives.

A product can learn from usage without building a profile of every person. This is the measurement model I use when trust, minimal collection, and useful product decisions all matter.

Mobile clients do not update when a backend deploys. This is the compatibility model I use to evolve Laravel API responses without making old app versions fail in the field.

Turning on Swift 6 strict concurrency usually generates hundreds of compiler errors overnight. Here is a battle-tested mental model for actors, Sendable types, task boundaries, and bridging legacy APIs without slapping @unchecked Sendable everywhere.

A migration can be valid Laravel code and still be a risky production release. Here is the expand, backfill, switch, and contract sequence I use to change live schemas without leaving the application or its workers behind.

Chat-based copilots suggest code. Agentic tools run it. That shift changes what trust, scope, and supervision mean in daily development — and the habits that keep it productive.

When most of the diff was written by an AI tool, traditional review habits break down. The volume goes up, the author's understanding goes down, and the reviewer needs a different checklist.

Vibe coding lets the AI drive and hopes the result works. Supervised coding keeps the human in control of scope, verification, and final decisions. Both have a place — the mistake is using one where the other belongs.

Most Laravel production incidents are not code bugs — they are config that was already wrong before the deploy. Here is why deployment readiness belongs in CI and how I built a CLI package that catches those risks before release.

Laravel lets you define rate limits but tells you nothing about who hits them. Here is why throttling needs an observability layer and how I built one as a package — instrumentation, persisted metrics, a secured dashboard, and runtime controls.