For more than 15 years, Proshore has been helping organizations develop and modernize software through long-term engineering partnerships. 

Across 20+ clients and more than 200 projects, Proshore has spent years solving problems that faster coding alone cannot solve.

The harder work has been understanding complex systems, protecting what already works, and modernizing them without disrupting the business they support.

As AI began changing software development, Proshore saw an opportunity to apply it to the harder engineering problems its teams were already solving.

Proshore’s teams already understood their clients’ architecture, business context, delivery processes, and production environments. 

AI could help them act on that knowledge faster, automating repetitive work, accelerating investigation, and increasing engineering capacity without removing human judgment or accountability.

That thinking became Proshore Sherpa.

AI Beyond Code Generation

Sherpa is Proshore's AI engineering capability, combining AI agents, enterprise tooling, and experienced engineers across the software delivery lifecycle. 

Sherpa applies AI across four areas of software delivery: Legacy, Build, Launch, and Pulse.

Sherpa Legacy focuses on modernizing complex existing systems. Legacy software often contains years of business logic, integrations, and dependencies, making wholesale replacement expensive and risky. 

Sherpa helps teams map those dependencies, strengthen documentation and testing, determine which parts of a system can be modernized, and how to modernize them safely.

Sherpa Build brings AI into the development workflow, supporting planning, implementation, testing, and documentation. Engineers remain responsible for architectural decisions, verification, and production readiness, with the goal of moving work from planning to release more efficiently.

Sherpa Launch focuses on AI experimentation. Teams can identify a specific business problem, build a working pilot, and evaluate its technical and commercial potential before committing to a larger investment.

Sherpa Pulse extends the model into production. It connects signals from product, QA, customer support, and engineering into a continuous feedback loop, helping teams turn production issues, customer feedback, and quality findings into fixes and improvements.

Together, Legacy, Build, Launch, and Pulse extend Sherpa from existing systems and new development through experimentation and continuous product improvement.

What the Early Results Show

Proshore’s experience with AI-assisted engineering provides an early indication of what this model can deliver.

At DPL, an AI-assisted engineering workflow has taken 652 tickets through to pull requests without engineers writing code manually. 

The workflow is estimated to have saved approximately 2,500 engineering hours. Across 312 Sentry bugs processed through the workflow, approximately 1.3% were recorded as failures.

At Psyflix, Proshore completed a major frontend modernization from Next.js 12 to Next.js 16 in 1.5 months with two developers. 

The work reached 71% automated test coverage, while the time required for developers to become productive with the codebase and product context moved from one to two months to one to two weeks. 

Sherpa is now being introduced into the next phase of development to support and enhance bug fixing, testing, and ongoing product work.

The business case becomes clearer when engineering time and capacity gains repeat across hundreds of tickets, production issues, and releases. 

Sherpa turns those individual gains into a repeatable engineering capability across the software lifecycle.

From AI Experiments to an Engineering Capability

Sherpa represents Proshore’s move from isolated AI experiments toward a broader engineering capability that can be applied across client work.

The four Sherpa areas give organizations different ways to start depending on where the biggest challenge exists: modernizing existing systems with Legacy, improving software delivery with Build, testing new AI opportunities with Launch, or strengthening products already in production with Pulse.

Sherpa turns Proshore’s engineering experience into an AI-enabled capability that can scale across systems and client environments.

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