For nine years, I was the entire engineering department. All the architecture. All the planning. All the code. All the deployment. All of it.

When you’re a soloist, you develop a certain velocity. No meetings. No handoffs. No explaining. The system is yours: you visualize it, you build it, you’re responsible for it. There is no one to blame but you.

Then I joined VA’s CaseFlow as Technical Lead—three senior developers, a five-sprint epic, and thousands of benefit appeals affecting thousands of veterans.

My first sprint planning: 2 weeks, 10 days, an industry standard.

Their message Thursday of Week 1:

“We’re done. Ready to ship.”

Four days. Four. Production-ready. Everything.

Here’s how I learned to scale through delegation without becoming the bottleneck.


The Challenge

I was working as Technical Lead at J-Mack Technologies, subcontracting to Booz Allen Hamilton on CaseFlow—the Department of Veterans Affairs’ benefit appeals processing system. Our work directly impacted how quickly judges and lawyers could resolve appeals for veterans seeking healthcare, disability benefits, and other critical services.

The feature we were building would streamline case assignment to hearing schedulers—a bottleneck that, once resolved, would streamline hearing scheduling across the entire appeals process. Every week this constraint remained meant hundreds of veterans waiting longer for their hearings or risking being overlooked.

What I brought: Nine years as a solo full-stack consultant where I’d built dozens of systems, solved hundreds of architectural problems, and developed instincts about what works and what creates technical debt. Complete system visibility. Compressed decision-making. Deep pattern recognition.

The problem: That entire context was in my head. Nine years of accumulated knowledge that made me fast solo—but how do you transfer that to a team in a way that makes them effective immediately, without them needing to live through your nine years first?

The stakes: First sprint planning with this team. Three senior developers I’d never worked with. Mission-critical government system. High stakes hearing scheduling affecting real veterans’ lives.

If Sprint 1 failed, I’d lose credibility for Sprints 2-5. If it succeeded, I’d prove the methodology could scale individual expertise into systematic team enablement.


The Obstacles

Several challenges compounded the complexity of translating solo expertise into team velocity:

The Expert’s Curse: I could see the entire system architecture in my head, knew all the patterns that would work, had solved similar problems dozens of times. But the team didn’t have my nine years of context—and explaining everything would slow them down more than help.

The Delegation Dilemma: It would be faster to just write it myself. I was more familiar with these patterns. But that doesn’t scale—I’d become the bottleneck, the team would become dependent, and velocity would cap at my personal output.

The Translation Problem: How much context is enough? Over-explain and I slow them down with unnecessary details. Under-explain and they’ll make mistakes I would have avoided instinctively. The balance was critical.

Single Table Inheritance Complexity: CaseFlow used STI patterns extensively for task management. Understanding these patterns was essential, but they weren’t immediately obvious from looking at the code. I needed to compress weeks of codebase exploration into digestible documentation.

The Trust Challenge: I’d been personally responsible for quality for nine years. Suddenly I’m trusting three senior developers I just met to execute at my standard. What if they can’t? What if my architectural decisions don’t translate?

First Impression Pressure: This was my first sprint planning as a team lead. The team had no reason to trust my judgment yet. I couldn’t rely on rapport or past successes. The architecture had to speak for itself.


Our Approach

Instead of trying to code everything myself or hoping the team would figure it out, I invested one week in systematic architectural preparation that would compress my nine years of context into systems the team could execute on independently.

The Seven-Step Enablement Process

1. Learn 4+1 Architecture Documentation

4+1 Architecture was the standard that the Architecture Review Board required for every epic. Approval was mandatory for any new features. It was my responsibility to learn the methodology and generate a presentation using it before I was allowed to construct the plan.

I studied the 4+1 architectural view model to create systematic documentation that showed not just what to build, but how to think about the system. This provided a shared mental model for the team, especially the Business Analysts and Quality Assurance agents we would be working with.

2. Research Using Available Tools

  • Storybook for React Components: Mapped existing UI patterns so developers knew which components to use
  • Claude AI, ChatGPT, GitHub Copilot: Accelerated code examination and pattern discovery in the unfamiliar codebase
  • Single Table Inheritance patterns: Deep-dived into CaseFlow’s task management architecture to understand the existing patterns

3. Break Down the Epic by Level of Effort

Analyzed the hearing scheduler assignment optimization and decomposed it into bite-sized stories based on complexity, dependencies, and risk. Each story was sized to be completable independently while building toward the larger goal.

4. Create Dependency Charts

Mapped out how components connected, which work could happen in parallel, and where blocking dependencies existed. This became the roadmap for execution without daily coordination meetings.

5. Write Sample Code Snippets

Created “untested but directional” code examples showing the patterns I’d use based on nine years of similar problems. Labeled them clearly: “This is what I think, it’s untested, make it work within our system.” This gave senior developers my architectural reasoning without mandating exact implementation.

6. Document UI/UX with Screenshots and Storybook References

Connected the backend work to existing frontend components. Developers didn’t need to guess which UI patterns to use—they could see exactly how the feature would integrate with CaseFlow’s existing interface.

7. Collaborate with Business Analysts

Worked with BAs to translate the technical decomposition into a clear 5-sprint workflow. The business side understood the timeline, the technical side understood the work, and everyone had aligned expectations.

The “Untested But Directional” Strategy

The code snippets weren’t production-ready implementations. They were pattern demonstrations showing:

  • The approach I’d take based on nine years of similar problems
  • Why that pattern handles edge cases they hadn’t encountered yet
  • How to think about the system connections to avoid blockers I would have avoided instinctively

But labeled “untested” to make clear: I’m showing you my thinking, not mandating solutions. Senior developers with fresh eyes often see better approaches. The snippets were invitations to improve, not prescriptions to follow.

This approach solved the delegation dilemma: I wasn’t writing the code (which doesn’t scale), but I was transferring the architectural reasoning (which does).


The Results

The systematic architectural preparation delivered results that exceeded every expectation.

Cross-Functional Impact

The architectural prep work didn’t just accelerate development—it aligned the entire cross-functional team around a shared understanding.

"Beyond their technical strengths, Lee is comfortable interfacing directly with clients, translating complex needs into actionable requirements, and ensuring that deliverables align with expectations. They communicate clearly and thoughtfully, and their collaborative style makes them a trusted resource on any project."

Jennifer Haymond
Director of HR, J-Mack Technologies

Business Analysts could write clear user stories because they understood the system model. QA knew exactly what to validate because the scenarios were documented. Developers could execute independently because the patterns were explicit.

This is what systematic architecture enables: not just faster coding, but faster everything.

Sprint 1 Velocity

Planned timeline:

  • 10 working days (2-week sprint)
  • Week 1: Development
  • Week 2: Testing, QA, polish
  • Sprint complete: Friday, Week 2

Actual timeline:

  • Days 1-3: Development
  • Day 4: Testing, QA, polish, PR reviews, everything
  • Thursday Week 1: Production-ready
  • Days 5-10: Available for Sprint 2 work

What “done” actually meant: Not “code is written.” Not “mostly complete.”

  • ✅ Code complete per acceptance criteria
  • ✅ Unit tests, integration tests, system tests—all passing
  • ✅ Pull requests reviewed, approved, merged to main
  • ✅ QA team validated functionality in staging
  • ✅ Edge cases handled, error messages refined
  • Shippable to production that afternoon

Most teams take two weeks to reach this state. Many never do—bugs push work into Sprint 2, technical debt accumulates, velocity degrades.

We hit production-ready in 40% of planned time. On the first sprint. With a new team.

"Under Lee's leadership his team performed some of the fastest, issue-free development I think we've ever seen. His thoughtfulness, foresight, and ability to hop into the trenches as needed to help anyone who is a bit stuck has propelled his team towards completing with their work far ahead of what was previously forecasted."

Matthew Thornton
Technical Lead, Booz Allen Hamilton

The Economics

My prep investment: ~5 days of architectural research, documentation, and planning

Sprint 1 time saved: 6 days × 3 developers = 18 developer-days

ROI on Sprint 1 alone: 360%

And Sprint 1 was just the beginning.

Developer Experience

The senior developers didn’t waste time:

  • Researching patterns (I’d documented them)
  • Debating approaches (dependency chart showed the path)
  • Discovering integration surprises (architectural prep eliminated them)
  • Waiting on architectural decisions (code snippets showed my reasoning)

They were freed to do what senior developers do best: write clean code fast.

Pull requests were fast because reviewers understood the architecture. QA was fast because acceptance criteria were crystal clear. Polish was fast because the design was right the first time.

Zero rework. Zero architectural pivots. Zero “we need to refactor this” moments.

"Project leadership formally recognized Mr. Lee Whittaker's contributions as he led his team to achieve their milestones across multiple program increments while simultaneously mentoring other engineers into greater capability."

Clayton Coleman
COO & Director of Engineering, J-Mack Technologies

By Sprint 2, I Asked for the Next Epic

Monday morning after Sprint 1’s Thursday completion, I messaged the product owner: “What’s the next epic after this one? I want to start architectural planning now.”

Not because Sprint 1 had been easy. Because I’d figured out how to scale what I’d been doing solo for nine years.

As a solo consultant, I could only work on one thing at a time—I was the constraint.

With this team and methodology, I could architect while they implemented. My limitation became how fast I could transfer knowledge, not how fast I could code.

If I could compress nine years of thinking into one week of prep that enabled 2.5× velocity…

Then my leverage wasn’t my hands on the keyboard. It was my ability to architect systems faster than teams could build them.

While the team executed Epic 1, I’d architect Epic 2. While they built Epic 2, I’d plan Epic 3.

That’s how you scale from 1× (solo) to 3× (team executing while you plan ahead).

What Happened Next

I never got to plan that next epic.

Organizational changes ended my contract during Sprint 4. The team successfully completed Sprint 5 using the architectural foundation we’d established—validating that the methodology created genuine team capability, not dependency on my presence.

Both my supervisor (J-Mack’s COO) and a peer Technical Lead at Booz Allen Hamilton wrote formal letters of recommendation specifically citing this project. Unusual recognition that spoke to the impact of the approach.

The next epic? I don’t know if they applied this methodology.

But the methodology is documented here. Any technical leader can use it. Any team can benefit from it.

The Fractional CTO Lesson

Within my first year at J-Mack Technologies, I’d:

  • Learned a mandatory architectural framework (4+1)
  • Passed Architecture Review Board scrutiny with glowing reviews
  • Led my first sprint planning to 2.5× velocity in 4 days
  • Established systematic methodology that enabled team independence
  • Made what HR leadership called “a lasting impact”

"Though their tenure with us has been under a year, Lee has made a lasting impact and shown the kind of initiative and maturity that are rare even in more senior professionals."

Jennifer Haymond
Director of HR, J-Mack Technologies

Then organizational changes ended the contract during Sprint 4.

This is the fractional CTO reality: you don’t have years to prove value. You have weeks or months to establish systems that continue working after you leave.

The methodology I’ve described here isn’t just about sprint planning. It’s about rapid value delivery in complex, formal environments where you need to:

  • Learn unfamiliar processes quickly (4+1 Architecture)
  • Navigate formal review structures (ARB approval)
  • Communicate across technical and business stakeholders (BAs, QA, developers, executives)
  • Enable team independence (they finished without me)
  • Deliver measurable results immediately (4 days vs 10)

That’s not just technical leadership. That’s systematic organizational impact that scales beyond your personal presence.

And it works whether you’re there for a year, a quarter, or a few days a week as a fractional CTO.