Process

The work starts
before the code.

A consistent approach to complex problems — built for established businesses where a bad rollout means weeks of firefighting and a team that loses confidence before the system ever ships.

01 Discovery02 Design03 Build04 Maintain

Why the process matters

Most software projects fail before a line of code is written.

Not because of bad engineering — because of bad discovery. The requirements were based on assumptions, the integrations weren’t mapped, and nobody talked to the people actually doing the work. By the time the system ships, it solves the wrong problem.

AssumptionsThe plan is built around what people think happens.
Unmapped systemsIntegrations and legacy dependencies surface too late.
Operator blind spotsThe people doing the work are brought in after decisions are made.
01

Discovery

Understand before touching anything.

I spend real time mapping how the work actually happens — not how it’s supposed to happen. That means talking to the people doing it, not just managing it. Watching workflows. Asking the uncomfortable questions about what can’t break and what’s held together by one person’s memory.

For clients where I’m physically nearby — Los Angeles, Orange County, the Inland Empire — this often means an on-site session before anything is scoped. Your floor is the best brief I can get.

What you get: A shared, honest map of the problem — before anything is designed or estimated.

How this applies to digital transformation
Taking the time to understand before building
Discovery Audit
  • Current tools mapped
  • Manual workarounds documented
  • “Can’t break” list defined
  • Integration dependencies
  • Real bottlenecks (not assumed)
  • Stakeholder pain points
Design checkpointDecisions stay cheap while they are still diagrams.
02

Design

Decisions made in design are just conversation. Made mid-build, they’re expensive.

Before a line of code is written, we agree on what we’re building. Wireframes, architecture decisions, and defined scope — all reviewed together upfront. You see the plan before it becomes code, which means you can redirect it without throwing away work.

This is also where integrations get mapped properly. QuickBooks, Salesforce, an ERP, a legacy API — whatever needs to connect gets accounted for in design, not discovered mid-build when it’s too late to re-architect.

What you get: A clear, reviewed plan — wireframes, architecture, scope — before anything is built.

See how this applies to custom software
03

Build

Work happens in visible phases. You never stop knowing where things stand.

Each phase ends with a working increment — not a status update, not a screenshot. You review what was built, give feedback, and we move forward with shared context. If something needs to change, it changes before the next phase builds on top of it.

The business doesn’t pause during a build. Rollouts happen around live operations, with cutover plans that respect what’s already running.

What you get: Working software at each milestone, with real checkpoints and no architectural surprises.

Web & mobile app development
Phased delivery plan
Build Progress
1Data layer & architectureDone
2Core featuresDone
3IntegrationsIn progress
4Polish & launchUpcoming
Calm, steady operations after a good handoff
Handoff Kit
  • System documentation
  • Admin training session
  • Recorded walkthroughs
  • Credentials & access guide
  • 30-day support window
04

Maintain

Launch isn’t the finish line.

A system your team can’t operate independently isn’t done. Every engagement ends with documentation they can actually use, training that sticks, and a support window as the business grows into the software.

The goal isn’t to make myself indispensable — it’s to make the system indispensable. Your team should be able to update it, troubleshoot it, and hand it off to the next person without calling me first.

What you get: A system your team owns — with training, docs, and ongoing availability as you grow.

See this process in action

Where AI fits in

AI can speed up the work. It cannot replace knowing the business.

AI runs through most engagements now — sometimes as a feature being built, always as part of how I build. I use it to move faster on the repetitive parts: scaffolding, generating options, catching edge cases early.

What AI doesn’t do is understand your business, make architectural decisions, or replace the judgment that comes from actually knowing the problem. That part stays human.

AI product development
“Diana would ask the right questions, which helped us reevaluate some of our ideas.”
Krishna SomandepalliPhD Candidate & Researcher · University of Southern California

Senior-led

I’m Diana Lopez.

I run the discovery, design, and build work directly, so the context gathered at the beginning does not get lost in handoff.

I work with established businesses where software has to respect what is already running: legacy systems, team habits, customer expectations, and the operational knowledge that rarely appears in a requirements doc.

What I protect during a project

Business continuityOperational dataTeam workflowsLaunch confidence
Diana Lopez — Software Modernization Consultant, Pixelswithin
15+Years of experience

Senior-led, solo practice — you work directly with Diana, not a team of junior developers.

Start a conversation

Drop me a line.

If the tools aren’t keeping up with the business, let’s talk. A real conversation about what you’re trying to fix.

ToDiana Lopezinfo@pixelswithin.comLos Angeles, CA 90404