Replatform AI

Replatform AI

AI-driven code intelligence for
brownfield modernization

    The reality across most enterprises

    Legacy codebases without current documentation, leaving teams to reverse-engineer business logic from source

    Anti-patterns and architectural debt that slip past static analysis tools and accumulate silently over years

    Modernization assessments that take weeks of manual discovery before a single line of code is touched

    Addressing these is essential to compress modernization timelines, surface hidden risk, and unlock developer velocity in brownfield environments.

    The Gap

    Modernization tooling stops at detection – not understanding, not remediation.

    Static analyzers flag syntax-level issues but miss the patterns that matter most like domain-specific anti-patterns, distributed transaction flaws, financial data integrity gaps, and architectural decisions that only make sense in context. Meanwhile, generating documentation for legacy systems remains a manual exercise that consumes weeks of senior engineering time.

    Teams need an intelligent system that reads the code the way a senior engineer would — understanding intent, identifying risk, and producing both documentation and remediation that meet production standards.

    How Replatform AI delivers value

    Automated Documentation Generation
    Analyzes legacy source code to produce architecture, behavior, and technical documentation — weeks of work, delivered in minutes.
    Deep Anti-Pattern Detection
    Catches domain-aware issues across financial integrity, compliance, and architecture that static analysis tools consistently miss.
    Automated Code Remediation
    Generates pull requests with production-grade fixes from type corrections and DTOs to circuit breakers and security hardening.
    Self-Validating Transformations
    Every run is scored against built-in quality criteria, with full transparency into what was fixed and what's pending.

    Replatform AI capabilities

    Auto-generation of comprehensive technical and business process documentation from source code

    Code metrics, complexity analysis, security findings, dependency mapping, and lines-of-code analysis

    AI-driven detection and remediation of domain-specific anti-patterns across financial, regulatory, and architectural categories

    Enforcement of production-grade patterns — circuit breakers, idempotency keys, transactional boundaries, structured DTOs

    Pull request–ready outputs with side-by-side comparison for review and seamless integration

    Transparent self-evaluation with quality scoring and validation against defined standards

    Our Approach

    Discovery-Driven Analysis

    Ingest the legacy codebase to surface architecture, business logic, and risk areas.

    Documentation at Scale

    Generate the full documentation suite in one orchestrated run.

    Targeted Remediation

    Apply domain-tuned transformers to fix anti-patterns static tools miss.

    Validate and Verify

    Self-evaluate every output against quality criteria with full transparency.

    Modernization Pathway

    Translate findings into a prioritized roadmap - backed by data, not guesswork.

    Building Bonds, Delivering Results

    Trusted by industry leaders worldwide

    The Breakthrough
    90%

    Reduction in time spent on legacy application discovery and documentation

    8x

    More anti-patterns surfaced compared to traditional static analysis tools

    60%

    Reduction in manual remediation effort for brownfield codebases

    40%

    Improvement in code quality and architectural consistency post-transformation

    3x

    Faster onboarding for developers joining legacy modernization projects

    Compress weeks of discovery into minutes and modernize legacy codebases with confidence.
    Connect with our Replatform AI Expert.

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