Dev Tools &amp; AI Coding

Turborepo Monorepo With pnpm Workspaces

Set up pnpm workspace boundaries and Turborepo task caching with explicit package dependencies, reliable outputs, and a structure that stays understandable as teams grow.

AI Code Review Checklist for Pull Requests

Review AI-assisted pull requests against behaviour, trust boundaries, tests, and operational risk, with a practical checklist that keeps plausible code from bypassing scrutiny.

Generate TypeScript Types From JSON and API Data With AI

Generate TypeScript contracts from representative API responses, model nullable fields and variants accurately, and add runtime checks before data reaches your interface.

Ravi DesaiRead the article

Software License Types: MIT, Apache, Creative Commons

Build a practical license review workflow for code, fonts, and design assets, with clear attribution records and safer decisions about commercial reuse.

Inside this article

Create a readable license record first
Understand what MIT permission includes
Read Apache 2.0 beyond the headline
Match Creative Commons terms to creative assets

AI Tailwind CSS: Get Clean Styles From AI Assistants

AI assistants can produce a convincing interface quickly, but the stylesheet often reveals how little was specified. Arbitrary spacing, duplicated utilities and brittle positioning accumulate when every prompt.

Write SQL With AI: Generate and Optimize Queries Safely

Turn reporting questions into tested SQL with explicit data contracts, edge-case fixtures, execution-plan evidence, and safe application types before trusting an AI-generated query.

Cursor AI Tips: Give the AI the Right Codebase Context

Give Cursor focused repository context, trustworthy API examples, and clear edit boundaries so generated changes fit your architecture instead of inventing a parallel one.

Grace Chen

Grace ChenRead the article

Generate Unit Tests With AI (Without Tests That Lie)

Generate tests from explicit behavioural contracts, challenge weak assertions with deliberate faults, and build a regression suite that detects bugs rather than repeating implementation assumptions.

Inside this article

Establish an independent contract
Give the model examples with reasons
Choose seams without mocking away the problem
Attack the assertions, not just the implementation

AI Debugging: Feeding Stack Traces, Logs and Repro Steps

Build a sanitised debugging packet from traces, logs and reproduction steps, then use AI to rank hypotheses, design decisive checks and verify a narrowly scoped repair.

Write Documentation and READMEs With AI

AI is useful for developer documentation when it reorganises evidence you already trust. It is unreliable when asked to invent a setup guide from a project name and a directory listing. The difference is not.

AI Pair Programming for Junior Developers: Learn First

Use AI as a coding tutor with hint ladders, behaviour predictions, regression tests, and independent teach-back checks that build junior developers’ skills instead of hiding gaps.