Not a wall of logos.
A console you can query.
Every tool below carries one line explaining what it actually does in practice — not simply that I have heard of it. Filter by category, or type to narrow the list down.
AI tooling, listed like everything else.
The models and assistants I work with every day are inventoried here on exactly the same terms as React or Terraform - what each one is genuinely good at, and how deep I actually go. No separate hype section.
Three rules for what
earns a place here.
It shipped
Nothing goes on this list because I read the documentation over a weekend. Each entry has been part of something that reached real users and had to keep working afterwards.
It says what it is for
A name on its own tells you nothing. Every entry carries one line on what the tool actually does in practice, so you can judge the fit rather than the length of the list.
Things leave the list
Tools I no longer use get removed rather than quietly padding the count. An inventory is only useful if it reflects the present.
Tools change.
The fundamentals bill you either way.
Frameworks get replaced every few years. What carries across is knowing why a render is slow, why a token expired, why a cache served the wrong thing, and why a query that was fine at a hundred rows falls apart at a hundred thousand. Scale is where fundamentals stop being academic and start being the whole job.
Performance
Render cost, bundle weight, cache strategy and the difference between a measurement and a hunch.
Scalability
Data access patterns, caching layers, pagination, queues, and what degrades first when load arrives faster than capacity.
Security
Least privilege, token lifetimes, input boundaries and never trusting anything that arrived over the wire.
Experience
Loading states, error recovery, keyboard paths - the parts of an interface that only show up under stress.
Ask me about a tool that isn't listed.
If it is not here, I will tell you honestly whether I have used it, evaluated it, or only read about it.