Nitro Legacy Explorer: Legacy System Assessment
Nitrowise Labs Zrt. · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Teams that inherit a 10 to 15 year old business-critical system face the same recurring question: what else breaks if we touch this? Answering it usually means weeks of manual archaeology, and general-purpose LLM tools tend to answer confidently even when they are wrong.
Nitro Legacy Explorer binds code, BPMN processes, and the data model into one searchable knowledge layer. It combines a deterministic base, an AI-generated narrative, and human curation. The distinguishing property is verifiability: every statement points to a concrete location in the source, so a domain expert can check it in days rather than trusting a black box.
Show the rest of the publisher’s description (9 more lines)
What the assessment delivers:
- A queryable knowledge layer over one customer-chosen module, expressed as YAML and Markdown.
- Impact analysis you can run in minutes instead of weeks.
- Output stored in the customer's own git repository. There is no lock-in: if you stop working with us, the knowledge layer stays yours.
- Living documentation that refreshes per pull request, so it stays current with the code instead of going stale.
- Connectable to existing tooling (GitHub Copilot, Cursor) through an MCP server, with output stored in the customer's own git repository. There is no lock-in: if you stop working with us, the knowledge layer stays yours.
What it deliberately is not: a one-click magic tool, a multi-year program, or shelf-ware documentation. The engagement is scoped, fixed, and tied to a single module you choose.
Built and delivered by Nitrowise Labs, an AWS Advanced Tier Partner. The approach has been applied to a Central European retail banking core.
AWS relation: This professional service relates to and drives usage of Amazon Bedrock, which powers the AI-generated narrative layer. The delivered knowledge layer runs in the customer's AWS environment and integrates with the customer's AWS-hosted repositories and development tooling.
Highlights
Highlighted by the publisher on AWS Marketplace.
Verifiable, not guesswork: every answer traces back to a specific point in the source code, so a domain expert can confirm it in days.
Risk becomes predictability: impact analysis ("what else breaks if we touch this?") goes from weeks to minutes.
Living documentation, not shelf-ware: the knowledge layer refreshes per pull request, so it stays current with the code instead of going stale. Customer-owned in YAML and Markdown, in your own git. No lock-in.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.