Aufsite CodeLens is a single-tenant AI platform that ingests your source code, documentation, and database schemas — then delivers structured analyses and living documentation entirely within your own AWS account.
Complex, long-lived application estates — layers of undocumented business logic, aging back-office systems, missing architecture records — are notoriously difficult to document, modernize, or hand off. CodeLens changes that.
It reads your actual source code, not just comments. It parses code, config, database schemas, and supporting documentation into a deterministic structural index, then runs your LLM of choice on AWS Bedrock over that index to produce structured analyses and Word/PDF deliverables — ready for your team on day one.
Because it runs entirely inside your AWS account, your code never crosses a trust boundary. CodeLens is read-only toward your application — it observes, indexes, and narrates; it never modifies your systems.
ECS Fargate + DynamoDB + Bedrock — single CloudFormation stack, installed in minutes
Parses any stack — source code, schemas, config, and documentation — not just search, actual comprehension
Generates downloadable Word, PDF, and Markdown documents — client-ready, audit-logged
Users select parameterized analyses — no data leakage, no hallucination from open-ended input
A five-stage pipeline — entirely inside your AWS account — that turns raw application assets into structured, citable, downloadable intelligence.
<untrusted_data> guards Full demo mode available with bundled sample corpusStructural parsing across any technology stack — source code, service interfaces, schemas, and config files. Builds a deterministic inventory of components, endpoints, dependencies, and traceability links.
Model inference runs via AWS Bedrock in the customer's own account. Choose the model that fits your requirements. Your source code and documentation never leave your AWS boundary — ever.
Optional Bedrock Knowledge Base with OpenSearch Serverless for semantic retrieval — merged with exact-identifier keyword search for precision and recall across large codebases.
Users choose from a curated catalog of analyses — architecture overviews, data flow diagrams, gap assessments, traceability reports. No open-ended prompting; no hallucination risk.
A guarded Q&A interface lets users ask natural language questions about the application — but only with read-only tools and citation-bound answers. The AI guard runs before every model call.
Every analysis can be exported as a Word document, PDF, or Markdown file. Deliverables are registered in an audit log, available for download, and branded to match your engagement.
The entire production environment — ALB, ECS Fargate cluster, DynamoDB tables, Bedrock KB — deploys from a single CloudFormation template. Full rollback journal if anything goes wrong.
A browser-based install wizard handles AWS provisioning, updates, and rollbacks — no CLI expertise required. Deploy, update, or tear down with a point-and-click ops console.
Supports SSO for enterprise identity providers or built-in local accounts with scrypt hashing, admin bootstrap, forced first-login change, role-based access (admin/member), lockout, and full audit trail.
CodeLens is designed for organizations where understanding the application is the hard part — before modernization, migration, or handoff can even begin.
Large-scale legacy back-office systems with years of layered changes, missing documentation, and compliance obligations. CodeLens produces the audit-ready architecture record your team needs.
Before you refactor or re-platform, you need to understand what you have. CodeLens accelerates discovery by producing a living knowledge base from your actual source — not interviews and tribal knowledge.
Deploy one CodeLens instance per client engagement. Speed up onboarding, reduce dependency on client SMEs, and deliver structured documentation as a standard deliverable — at every project close.
Map application behavior to regulatory requirements. CodeLens traces data flows, identifies control points, and generates gap reports — all citation-bound to the actual source code.
Every design decision in CodeLens reflects a single principle: the AI should assist your team, never act autonomously, and never take a risk with your customer's data.
The security model isn't a checkbox — it's the architecture. From the way ingested code is handled to how every deliverable download is logged, trust is built into each layer.
<untrusted_data> delimiters — the AI narrates; it never executes or trusts customer content as instruction.Aufsite's proven engagement methodology — scoped, fast, and built to hand off cleanly.
We review your application estate, identify the source assets to ingest, map the documentation gaps you need to close, and scope the deliverables for your engagement.
We configure the analysis catalog for your domain — which engines to enable, which deliverable templates to use, how branding and user roles are set up for your team.
We provision CodeLens into your AWS account via CloudFormation, load your source corpus, validate the knowledge base, and hand off a running platform with your team trained on day one.
We'll walk you through a live demo on a sample corpus — no AWS account needed for the first look. If it fits, we'll scope a deployment in your environment the same week.
Prefer a call? Reach us at 732.234.1020
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