We document the architecture before we write the code.
WEB D works with technical founders and CTOs who need the hard problems solved — schema design, API resilience, deployment strategy — not just a polished interface on top of a fragile foundation.
Trade-offs stated plainly. Decisions documented.
Every engagement starts with an architecture document: data models, failure modes, the alternatives we considered and why we set them aside. You read it before we write a line of production code.
When we choose a database engine, a queue strategy, or a caching layer, we tell you what it costs, where it fails, and what we tested against it. That conversation is the build — not a footnote after launch.
What changed after the build.
They handed us an architecture doc before the kickoff call was over. Every table, every index, every async job — explained with the latency rationale. Our engineering team had zero surprises at handoff.
We had a spike in throughput six months post-launch that would have broken most builds. Theirs didn't. The deployment strategy they documented up front had accounted for exactly that scenario.
The schema decisions they made in week one are still the right decisions two years later. That kind of structural thinking is rare — most shops optimize for the demo, not the maintenance window.
Technical founder, internal tooling startup
CTO, B2B SaaS platform
VP Engineering, e-commerce scale-up
The architecture is in the case studies.
Each project page documents the database design, the deployment strategy, and the trade-offs we made. That's the work — read it and decide if we think the way your team does.