Sherpa Legacy

Modernize the legacy. Keep the roadmap moving.

Legacy software does not have to stop working to start holding your team back. Releases slow as system knowledge fades and integrations become harder to manage. Eventually, the architecture gets in the way of cloud, AI, and product initiatives.

Sherpa Legacy combines Proshore engineers with AI-supported modernization workflows to help understand and evolve existing software without putting the current product on hold.

Your team stays in control while Proshore adds capacity and Sherpa helps the work move faster.

THE PROBLEM

When the software still works, but changing it gets harder.

Most legacy systems do not suddenly fail. Friction builds gradually until maintaining the existing product competes with moving the business forward.

Slower releases

Changes require more effort and coordination before they can safely reach production.

Knowledge trapped in the system

Critical architecture and technical context becomes concentrated in a few engineers.

Harder integrations

Older architecture makes connecting new platforms, services, and capabilities increasingly expensive.

The roadmap gets blocked

Maintenance consumes engineering capacity while cloud, AI, and product initiatives become harder to execute.

A full rewrite can create even more cost and disruption.
Sherpa Legacy helps teams modernize in controlled phases while the existing software keeps running.
HOW SHERPA LEGACY WORKS

Build the context first. Modernize with confidence.

Modernization becomes risky when engineers have to rediscover the system before they can safely change it.
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Sherpa Legacy brings AI-assisted system understanding together with Proshore engineering expertise, so modernization happens with better context and less guesswork.

1.Understand

Build context around the codebase, architecture, dependencies, and technical debt.

2.Validate

Strengthen documentation, testing, and system visibility before major changes.

3.Modernize

Refactor, replatform, extract, or rebuild the components where change creates the most value.

4.Monitor

Keep production signals, issues, and engineering context connected as the software continues evolving.

WHY PROSHORE + SHERPA

Modernization without another transformation layer.

Large modernization programs can make already complex systems even harder to manage. Proshore works inside your existing engineering environment instead.

Your team keeps ownership

Your internal team stays in control of product direction, architecture, and priorities.

Proshore adds capacity

Experienced engineers work alongside your existing organization instead of creating a detached transformation team.

Sherpa strengthens the workflow

AI-supported analysis, documentation, testing, and engineering context help the modernization team work more effectively.

Enterprise-quality modernization execution without building an enterprise-sized transformation program around it.
BUILT FROM REAL ENGINEERING WORK

Built around production software. Not AI demos.

Sherpa Legacy grows from modernization and engineering problems Proshore teams have already encountered in real software environments.

01

DPL

DPL

SherpaAI
AI-ASSISTED ENGINEERING IMPACT

Infrastructure built to support growth

Sherpa AI connects engineering context with execuation - taking real Sherpa tickets from issue investigation through code generation and pull request creation.

MEASURED IMPACT (SINCE 14 APR 2026)
652
tickets shipped to a PR
with no human writing the code.
~2500
hrs
engineering hours saved (est.)
Based on 1.5–4 hrs manual effort per ticket
1.3%
reduced true failure rate on Sentry bugs
4 of 312 - most of the rest fixed or self-resolved as non-code issues
Real results today.
A bigger impact tomorrow.
AI Sherpa shows what's possible when AI is connected to real engineering workflows. Sherpa builds on this approach to accelerate delivery, improve issue resolution, and create continuous engineering improvement across your entire software lifecycle.
02

Psyflix

Psyflix

AI-ASSISTED ENGINEERING IMPACT

Al accelerated a major frontend modernization

A complex migration from Next.js 12 to Next.js 16 was completed in 1.5 months with just 2 developers.

MEASURABLE ENGINEERING IMPACT

5 → 7+
Tickets completed
Depending on task complexity and use case
71%
Automated test coverage
Stronger regressionprotection for future releases.
1-2 months
→ 1-2 weeks
Tickets completed
Faster access to codebase and product context.
Sherpa AI
Next phase

Next with Sherpa Al

Extending Al beyond modernization
Sherpa Al is being introduced to support the next phase of Psyflix development by reducing repetitive work and bringing more context into bug fixing, testing, and ongoing product development.

Engineers in control
Al assists with context, investigation, testing, and implementation.Engineers remain responsible for validation, verification, and release decisions.
SHERPA LEGACY SCAN

Find out where modernization should start.

You do not need to commit to a major transformation program to understand where your legacy software is holding the business back. Start with a Sherpa Legacy Scan.

The Sherpa Legacy Scan is a low-risk entry point into a broader modernization engagement. Start by understanding what is actually getting in the way. Then decde what deserves to change.