📰 Dev.to · Ntty

Why a boring tech stack and a lack of architecture often lead to faster shipping for solo developers.

A pragmatic guide to technical SEO that focuses on Core Web Vitals, crawl budgets, and the actual mechanics of how search engines see your code.

Moving from syntax-first to intent-first development. How to actually use LLMs to build without losing control of your codebase.

Moving from a request-response loop to an autonomous loop. Practical patterns for agentic workflows in production.

Why you probably do not need a global state library and how to structure data in a way that actually scales.

Why you probably do not need a global state library and how to simplify your data flow.

Why moving from a single prompt to a loop of planning and execution is the only way to get reliable output from LLMs.

A practical guide on what actually moves the needle for search rankings from a technical perspective, without the marketing fluff.

Why over-engineering your early architecture kills your speed and how to choose a boring stack that actually scales.

Why your AI prompts are failing and how to shift from search-based querying to structured logic for better code generation.

Why the 'perfect' architecture is killing your momentum and how to embrace just enough code to ship.

Hard lessons on why a complex tech stack kills small projects before they ever find a user.

WaitSpin is a native Mac companion for developers who want to explore earning through supported...

Forget the marketing hype. Here is how to actually optimize your web app for search engines from a technical perspective.

Why rolling your own authentication is a technical debt trap and how to structure your user identity layer for scale.

Moving from writing every line of code to orchestrating AI agents requires a shift in how we think about technical debt and system design.

A practical guide to technical SEO that focuses on performance, structure, and crawlability without the marketing fluff.

A look at the hidden traps of shared databases and how to structure your tenant isolation before you hit a scaling wall.

A practical guide to technical SEO that focuses on performance, structure, and accessibility instead of keyword stuffing.

Moving beyond manual blog posts. How to build a content engine that scales using structured data and automated workflows.

Why your SaaS is stalling despite a clean codebase, and how to find the actual gaps in your user experience.

How to use AI-powered editors like Cursor without losing your ability to debug and maintain your own code.

Why treating LLMs like magic boxes leads to flaky code, and how to implement a deterministic wrapper around non-deterministic outputs.

How to move from trial-and-error prompting to a systematic approach for integrating AI into your codebase.