King Joshua Marcos

When I first started vibe coding, my instinct was to build broad all-in-one workspaces, but the AI agents kept drowning in context bloat and users got tired of prompt engineering their way through a generic interface. Once I pivoted to building hyper-specific micro-tools, such as single-purpose AI code helpers, dedicated document-parsing file tools, and simple automation utilities, the entire build process changed. The spec files stayed clean, Claude and Cursor stopped hallucinating, and the final products solved an exact problem right out of the box. Has anyone else shifted their vibe coding strategy away from big multi-feature apps toward single-workflow micro-tools?

Solo builder here, using Cursor + Claude Code as basically my whole engineering team. Six months in I still don't have a good instinct for this: some days I let it just run with a whole feature and barely glance at the diff, other days I'm rereading every line like it's a junior dev's first PR.

Right now my rough rule is billing/auth code gets the paranoid review, UI and analytics panels get the "looks fine, ship it" treatment. But that's just a gut feeling, not a real system.

Anyone here have an actual framework for this, or is everyone just winging it based on vibes and how burned they've been before?

Building AI for furniture e-commerce has been eye-opening.

Most AI conversations seem to focus on coding, content creation, and productivity. But after spending time talking to furniture stores and studying how customers shop online, I've noticed a different challenge.

Finding the right furniture isn't always straightforward.

Customers often browse dozens of products, compare styles, materials, colors, and dimensions, and still leave without making a decision. Unlike many purchases, furniture is highly visual and personal.