Technical Consulting
Custom software engagements led by experienced architects, paired with new‑grad engineers for fresh perspective.
Sterling’s technical consulting practice focuses on building custom software that fits your organization—its domain, constraints, and culture. We don’t force you into a product; we design and build systems that live comfortably in production for years, alongside the realities of your existing environment.
Our teams combine very experienced developers—architects who have seen multiple generations of platforms—with developers fresh out of college who bring curiosity, modern practices, and new energy. This pairing gives you hard‑earned judgment and fresh eyes in the same room.
We emphasize clear communication, explicit tradeoffs, and code that your own team can understand and maintain after the engagement ends. The goal is not just to ship software, but to leave your organization stronger.
Consulting Focus Areas
Where Sterling typically engages with clients.
New Applications
Design and build core business systems that become part of your daily operations. We focus on clarity, maintainability, and a smooth path from prototype to production.
Legacy System Upgrades
Modernize existing systems without turning off the lights. We work alongside your current stack, gradually introducing new components, services, and patterns.
Operational Efficiency
Build internal tools that streamline operations—dashboards, workflow engines, reporting systems, and automation that removes manual friction from your teams.
Architecture & Scalability Advisory
Short, focused engagements to review architecture, performance, and scalability. We help you understand where your systems are strong, where they’re fragile, and what to do next.
Fixing AI‑Generated Code Issues
AI‑generated code accelerates development, but rushed or poorly structured output can introduce hidden complexity, performance problems, and architectural drift. Sterling specializes in diagnosing and correcting these issues before they become long‑term liabilities.
Fixing Issues Created by AI‑Generated Code
AI accelerates development - but it also creates new kinds of technical debt.
AI‑generated code can be incredibly useful for prototyping and accelerating development, but it often comes with hidden problems: inconsistent patterns, unnecessary complexity, incorrect assumptions about your domain, or code that “works” but isn’t maintainable. These issues compound quickly, especially when multiple developers rely on AI tools without architectural guardrails.
Sterling helps teams identify, correct, and stabilize AI‑generated code before it becomes a long‑term burden. We focus on restoring clarity, consistency, and architectural integrity - ensuring your codebase is something your team can confidently build on.
- Refactoring AI‑generated code to match your architecture and coding standards
- Fixing subtle logic errors introduced by AI hallucinations or incorrect assumptions
- Removing unnecessary complexity and simplifying over‑engineered AI output
- Correcting dependency misuse and cleaning up mismatched libraries or frameworks
- Improving performance by replacing inefficient AI‑generated patterns
- Re‑establishing domain correctness when AI code misunderstands your business rules
How Sterling Engagements Work
A structured, transparent approach from discovery to delivery.
Consulting engagements are designed to be predictable and transparent. We start with discovery, move into architecture and design, then build iteratively with regular checkpoints and clear deliverables.
- Discovery & Context: Understand your domain, constraints, existing systems, and success criteria.
- Architecture & Design: Propose patterns, boundaries, and integration points that fit your environment.
- Implementation: Build features in small, reviewable increments with automated tests and documentation.
- Transition & Handoff: Prepare your team to own the system—knowledge transfer, docs, and support plans.
Throughout the engagement, we keep communication explicit: what we’re doing, why we’re doing it, and what tradeoffs are being made. You should never feel surprised by the state of the project.
Consulting engagements are built with the same engineering discipline we apply to our own products.
Discuss a Consulting Engagement
Start with a conversation about your systems, goals, and constraints.
If you’re considering a new system, a modernization effort, or a focused architecture review, we’re happy to start with a short, low‑pressure conversation. The goal is to understand your context and see whether Sterling is a good fit for your needs.