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SANGTRA
Engagement 01

Legacy Platform Transformation

Turn an 18-month legacy rebuild into a months-long program — and leave your team operating at 5× after we're gone.

All services
5×+
Developer productivity target
~18mo → months
Timeline compression
Lasting
Capability that stays in-house

The challenge

Where teams get stuck.

Legacy platforms carry years of accumulated business logic, technical debt, and undocumented behavior. A traditional rebuild is slow, risky, and expensive — often quoted at 18 months or more — and the moment it ships, the knowledge leaves with the contractors. The goal isn't just to modernize the software; it's to permanently raise how the team builds.

Our approach

Rebuild legacy software into a modern platform — in a fraction of the time.

01

Train and mentor your team

We coach your internal developers to leverage AI across the entire software development lifecycle — from spec to ship — through hands-on pairing, not slideware.

02

Install a 5× development operating model

We implement AI workflows, tooling, and best practices engineered to increase developer productivity by 5× or more, wired into your actual stack and repos.

03

Accelerate the legacy conversion

We help redesign and re-architect the existing legacy software into a modern enterprise platform, using AI-assisted methods to strategically compress the timeline.

04

Make it repeatable

We establish durable processes and playbooks so your team keeps operating at a significantly higher level long after the engagement ends.

The engagement

How it runs, step by step.

  1. 01

    Assess

    Audit the legacy codebase, team workflow, and toolchain. Define the modern target architecture and a realistic acceleration plan.

  2. 02

    Enable

    Introduce AI-assisted coding, testing, docs, and review practices through embedded pairing with your developers.

  3. 03

    Accelerate

    Drive the legacy-to-modern conversion in tight increments, using agentic developer automation to move faster with confidence.

  4. 04

    Hand off

    Codify the operating model into repeatable playbooks so the productivity gains outlast the engagement.

What you get

Deliverables.

AI-assisted coding standards and prompt/tooling library
Modern target architecture and system design
Automated testing and QA harness
Automated documentation generation pipeline
AI-augmented code review workflow
Technical-debt reduction plan and burndown
Agentic developer-automation workflows

FAQ

Common questions.

By combining AI-assisted coding, automated testing and QA, generated documentation, AI-augmented code review, and agentic developer automation into one coherent workflow — then coaching the team until it becomes the default way they work.

No. We train and mentor your existing team so the capability stays in-house. The engagement is designed to leave you operating at a higher level permanently, not dependent on us.

AI-assisted development methodologies let a smaller team analyze legacy logic, generate and validate code, and produce tests and documentation in parallel — strategically compressing work that traditionally runs sequentially.