AI-assisted engineering
AI assists codebase analysis, documentation, repetitive refactoring and test generation under engineering supervision.
PEOPLE / SYSTEMS / OUTCOMES
Build around the people who know the work.
FOCUSED ENGINEERING GUIDE
Modernize a critical legacy application without defaulting to a full rewrite.
Map behavior and dependencies, choose safe modernization boundaries, and release incremental changes with compatibility and regression evidence.
Discuss a modernization boundaryFORCTO, engineering director, application owner, modernization lead
TRIGGERA critical application is expensive to change, difficult to operate or approaching platform end-of-life
WHAT THIS ENGAGEMENT COVERS
Legacy Application Modernization Services
A legacy application can be difficult to change and still be too important to replace in one move. Its real specification may be distributed across code, database behavior, integrations and the operational knowledge of a small number of people.
Ariftly establishes that operating picture before recommending a modernization path. We identify a bounded capability, capture its current behavior and introduce a modern seam with compatibility and rollback controls. This creates useful progress while protecting the workflows the business still depends on.
THE PROBLEM
The difficult part is rarely the happy path.
We start with the dependencies, exceptions and verification burden that make this work risky.
- 01
Business behavior exists only in legacy code
- 02
Runtime and integration dependencies are poorly documented
- 03
A full rewrite carries unacceptable delivery risk
- 04
Tests do not cover the behavior the business depends on
- 05
Deployment knowledge is concentrated in a few people
EXPECTED INPUTS
What we work from.
- Codebase and architecture
- Runtime and integration dependencies
- Existing tests and operational history
- Representative inputs and outputs
- Business constraints and target architecture
DELIVERABLES
What you receive.
- Behavior and dependency map
- Modernization boundary and sequence
- Incremental implementation
- Compatibility adapters where needed
- Regression and output evidence
- Deployment and ownership plan
DELIVERY PATH
A controlled path
to a verified result.
- 01
Understand
- 02
Bound
- 03
Modernize
- 04
Verify
- 05
Release
AI + DETERMINISTIC ENGINEERING
Move faster.
Verify the result.
Deterministic controls
Characterization tests, contract checks, output comparison and staged release controls protect existing behavior.
Accelerate repetitive work
AI assists analysis, classification, mapping and transformation where it can reduce manual effort.
Return inspectable artifacts
Your team receives code, mappings, tests, evidence and documented exceptions rather than a black box.
Fit the existing environment
We work with the systems, controls and deployment boundaries that already run the business.
Keep critical decisions human
Material changes and unresolved exceptions remain subject to accountable engineering review.
REFERENCE SCENARIO
Reference scenario: isolate one legacy business capability
A representative incremental path from undocumented behavior to a controlled modern boundary, not a completed customer case study.
ARIFTLY / REVIEW PACKAGE
01 Behavior and dependency inventory
02 Selected modernization seam
03 Compatibility contract
04 Regression evidence
05 Staged deployment and rollback plan
ENGAGEMENT MODEL
Start bounded.
Build from evidence.
- 01
Assessment
One bounded workload, system or partner flow.
- 02
Production work
Implement, integrate and validate the agreed scope.
- 03
Ongoing operation
Monitor, support or extend where the operating need justifies it.
- 04
Reusable automation
Turn proven repeated patterns into reusable engineering capability.
QUESTIONS
Do you recommend a rewrite?
Only when the evidence supports it. We first look for bounded seams that reduce risk and create value without replacing the entire application at once.
Can you work with poorly documented code?
Yes. Discovery focuses on runtime behavior, dependencies, operational knowledge and representative inputs and outputs.
How do you avoid changing business behavior?
We establish characterization and contract tests around the selected boundary, then compare behavior throughout implementation.
Can modernization happen while the application stays live?
Often yes. The deployment sequence, compatibility needs and rollback controls depend on the architecture and operational constraints.
What do our engineers receive?
Reviewable code, tests, architecture decisions, dependency evidence, deployment guidance and a clear ownership handover.
DISCUSS THE REAL PROJECT
Bring the system.
We’ll map the path.
Share a representative workload, specification or architecture. Sensitive production access is not needed for the first conversation.
Discuss a modernization boundary