Legacy code comprehension, impact analysis, and developer onboarding
Understand unfamiliar legacy code before you change it
Panorama helps developers navigate large, multi-language systems that are too interconnected to understand through source search and static documentation alone.
Trace calls, references, data movement, batch relationships, and cross-application dependencies so implementation starts with a dependable view of the surrounding system.
Why legacy development becomes slow and risky
A change that begins in one program can reach shared copybooks, database fields, transactions, files, interfaces, batch jobs, and components written in another language. The source tree rarely shows that full impact surface.
When reliable system knowledge lives with a few experienced colleagues, developers spend valuable time reconstructing context before they can confidently implement or review a change.
Common developer workflows
- Follow calls, references, data flows, and batch chains from one starting point
- Assess the impact of field, copybook, program, interface, or database changes
- Navigate unfamiliar COBOL, PL/I, Assembler, C, Java, JCL, DB2, and IMS landscapes
- Investigate missing links, unused components, and apparently dead code before cleanup
- Create current technical documentation from the analyzed system
- Onboard to an established application without waiting for every path to be explained
What Panorama gives developers
- Sub-second navigation across very large analyzed codebases
- Cross-reference, call-graph, dependency, and data-flow views
- A shared analysis repository updated through regular source scans
- Application context that crosses language and repository boundaries
- Evidence developers can review with architects, testers, and subject-matter experts
Developer and team outcomes
- Spend less time searching and more time resolving the actual change
- Find hidden dependencies before they appear in review, testing, or production
- Make estimates and implementation plans from a clearer impact boundary
- Reduce reliance on individual memory while preserving expert judgement
- Help new team members become productive sooner
Panorama in developer workflows
Enterprise teams have used Panorama to trace value chains, search very large repositories, and recover system understanding when original expertise was no longer available.
JPMorgan Chase
A COBOL-to-Java project team used Panorama Dataflow Analysis to trace value chains within a single day.
BMW
Used Panorama for high-volume impact analysis and repository searches across tens of millions of lines of code.
Credit Suisse
Used source-code analysis to compensate for lost system expertise after original developers had left.
Developer FAQ
How is Panorama different from source-code search?
Text search finds matching strings. Panorama analyzes structure and relationships so developers can move through calls, references, data flows, jobs, transactions, databases, and cross-language dependencies around a change.
Can Panorama help developers understand code they did not write?
Yes. Panorama creates navigable system knowledge from the analyzed codebase, helping developers inspect how components relate without relying only on file-by-file reading or undocumented expert knowledge.
Does Panorama support impact analysis before a production change?
Yes. Developers can inspect direct and indirect relationships around programs, fields, copybooks, data stores, interfaces, and jobs before deciding what should change or receive further review.
Does Panorama replace developer judgement?
No. Panorama exposes system evidence. Developers and subject-matter experts still decide what a relationship means and how the application should be changed, reviewed, and tested.
Bring us a difficult code-comprehension question
Show us the languages, repositories, dependencies, or change scenario your developers need to understand. We can demonstrate how Panorama approaches it.