Everything I’ve built, on one board.

Adopted as the build standard across product modules, shortening new-screen delivery and retiring duplicated view code.

The problem

Every new screen was written from scratch, so the same view code existed in a dozen slightly different copies — and each copy drifted on its own.

The decision

A platform rather than a style guide. 29 JavaScript components, 54 server-rendered elements, and engines for validation and forms, so a screen is assembled instead of written.

The evidence

Duplicated view code retired by the thousand lines, and a screen that took days now takes a sitting.

The surface other engineers build their screens on, and the one that had to survive the largest tables in the product.

The problem

A grid is where a product's data meets a person, so every performance sin in the stack below shows up in it first.

The decision

Treat it as a layer, not a widget: one grid, with sorting, filtering, paging and export solved once, against a query layer that could answer it.

The evidence

Every module's tables are the same grid, so a fix in it is a fix everywhere.

Streams large exports in constant memory, replacing a path that silently capped at 1,000 rows.

The problem

The export silently capped at 1,000 rows. Nobody was told. People made decisions on a thousand rows believing they had the whole table — which is worse than an export that fails.

The decision

Stream it. Constant memory, two paths — synchronous for what can be answered now, queued for what cannot — and a cap that announces itself if one is ever needed again.

The evidence

A silent truncation became a complete file, and the failures that remained say what went wrong.

Serves web and mobile clients from one contract, with token auth, a role–permission matrix and audit logging.

The problem

Web and mobile wanted the same data and were growing two different ideas of what it meant.

The decision

One contract for both, with authorisation as a matrix rather than a pile of checks, and an audit log written on the way through instead of reconstructed afterwards.

The evidence

Who did what is a query, not an investigation.

Adopted across product modules, substantially cutting the boilerplate each one carried.

The problem

Five modules meant five answers to routing, five to authorisation and five to validation — none of them wrong, and no two the same.

The decision

Write the floor once. A framework and a component library that make the ordinary decisions, so each module only spends its code on what makes it different.

The evidence

Boilerplate per module fell far enough that new modules stopped arguing about the basics.

The heaviest report ran 49s at p95 before this layer; latency across the schema fell far enough to absorb sustained data growth on unchanged hardware.

The problem

A correlated subquery over an unindexed column, run once per row, in the report everyone opened first. 49 seconds at p95, and the data was still growing.

The decision

Replace the subquery with an indexed join and batch the N+1 resolvers. Then design the indexes for the queries that actually run, and materialise the report views that could never be fast honestly.

The evidence

Measured at p95, not on a warm cache — and the same hardware absorbed the growth that followed.

The schema under a multi-warehouse manufacturing business: inventory, order-to-cash and finance, in one model rather than three.

The problem

Inventory, sales and finance each had their own idea of a transaction, and the month-end reconciliation was where the three ideas met.

The decision

One model for the business, not one per department: a single ledger of movement that inventory, order-to-cash and finance all read, so there is nothing to reconcile.

The evidence

The business ran its order-to-cash on this for over five years.

A class of silent data-corruption bugs removed from bulk CSV ingestion, by turning dropped rows into per-row actionable errors across all four import handlers.

The problem

Bad rows were dropped quietly. The import reported success, the file looked imported, and the damage surfaced weeks later as numbers nobody could explain.

The decision

A dropped row is an error with a row number and a reason, in all four handlers. An import that partly failed has to say so at the moment it fails.

The evidence

Corruption that used to be discovered became corruption that is refused.

Releases across a load-balanced multi-node fleet with zero planned downtime.

The problem

A release meant a window, and a window meant the business stopped while engineering worked.

The decision

Roll through the fleet instead of stopping it: one node at a time behind the balancer, with migrations written so both versions of the code can live with the schema.

The evidence

No planned downtime taken, and the unplanned kind grew rarer rather than quieter.

Five years teaching data structures, algorithms, C/C++, Java and computer graphics, and mentoring capstone projects.

The problem

Nothing on this board is here because of a framework. It is here because of what teaching the fundamentals does to how you think about them.

The decision

Explain it until it is simple. Five years of having to answer why, from people with no reason to accept hand-waving, is where the habit of measuring before claiming came from.

The evidence

Every part on this board keeps its own numbers. That started in a classroom.