The visible screen boundary
Cursor works on the open file, the active project and its local index. It is designed for interactive editing and rapid prompting. It cannot track cross-service contracts or schema migrations spanning 40 microservices.
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AI code editor vs enterprise platform · Enterprise evaluation
Aedeon vs Cursor.
Enterprise system platform vs AI code editor.
The short answer
Faster typing does not fix distributed architecture. Evolve your enterprise systems at scale.
Cursor helps developers edit code faster inside an AI code editor. Aedeon solves what happens across dozens of services: mapping live semantic dependencies, executing coordinated upgrades, and verifying behavioral parity before deployment.
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Proven enterprise track record · The New York Times
The New York Times moved PLATO, six million lines of code, from Oracle 12c to Aurora PostgreSQL in twelve weeks with Aedeon, verified on live production traffic before it shipped. About five times faster than a conventional program.
6Mlines of code
12weeks, end to end
5×faster than conventional
The boundary
Where file editing stops and enterprise risk begins.
Cursor was built for developers working inside a code editor, one codebase at a time. But writing new lines of code faster is not the bottleneck for enterprise architecture teams.
Code search vs semantic reality
Code indexes find relevant text, strings and function signatures. They do not resolve overloaded method calls across compilation boundaries or trace runtime data flows across distributed message queues.
Unit tests vs production traffic
Code generated in an editor is verified against local test suites. Real enterprise failures happen on unforeseen edge cases, high concurrency and subtle serialization mismatches that local unit tests never exercise.
Cursor
How Cursor sees your estateIllustration
Aedeon
How Aedeon sees itIllustration
Real-world workflow comparison
Run the same migration twice: in an editor vs across an enterprise architecture.
When was the last time you upgraded an authentication service and its shared schema across 28 dependent services? Tough, right? Aedeon removes that friction.
In-editor development (Cursor)
Manual repo edits
- Engineers open repositories one at a time, prompting the editor to adjust call sites.
- Syntax errors are highlighted locally, but cross-repo interface contracts break silently.
- No centralized architectural plan coordinates the deployment sequence or rollback strategy.
- Changes are verified using local mocks and unit tests that miss live production traffic patterns.
- Pull requests are reviewed manually in isolation, leaving team leaders blind to cascading risks.
Aedeon enterprise platform
Coordinated, verified change
- Aedeon Graph maps all 28 services, tracing every consumer, field mutation and RPC contract.
- Aedeon Supervisor generates a multi-repo change plan with ordered, deterministic stages.
- Aedeon Evolve applies coordinated transformations across every affected repository.
- Recorded production traffic is replayed through shadow instances to verify identical behavior.
- Changes land in your Git with full provenance and complete architectural sign-off gates.
Platform architecture
Built for broader enterprise transformations.
Aedeon gives technology leaders the visibility, planning precision and verification required to change mission-critical software safely.
Aedeon Graph · Semantic depth
15entity kinds16relationship kinds
The Code Intelligence Graph: a living map of how your systems actually work, tracking field-level data flow and framework semantics across repositories.
Aedeon Supervisor · Enterprise planning
Supervisorproprietary planning model
Our proprietary model orchestrates complex transformations, breaking large architectural goals into validated, reversible change plans that remove the guessing.
Aedeon Evolve · Production verification
Liveproduction traffic, mirrored
Replays live production traffic against shadow environments, proving the same response payloads and database state before changes ship to Git.
Side-by-side comparison
Eight dimensions an enterprise evaluates.
| Evaluation dimension | Cursor (AI code editor) | Aedeon enterprise platform |
|---|---|---|
| Primary operating persona | Individual software engineers writing code in an IDE | VPs of Engineering, chief architects and technical leadership |
| Operational scope | Active editor file, active workspace or local codebase | Distributed enterprise software architecture across all repositories |
| Code understanding | Codebase indexing and embeddings-based search | Aedeon Graph: a semantic map with 15 entity kinds and 16 relationship kinds |
| Transformation capability | Code edits, autocomplete and refactors within a codebase | Multi-service replatforms, database migrations and framework upgrades |
| Planning engine | LLM agent loops inside the editor | Aedeon Supervisor: a proprietary planning model creating ordered change plans |
| Verification mechanism | IDE linters, syntax checks and local test execution | Live production traffic replay and shadow verification |
| Architecture governance | Developer decisions per change; review happens in pull requests | Full provenance in your Git, human architecture gates and audit trails |
| Enterprise track record | Widely adopted for day-to-day developer productivity | The New York Times PLATO: 6M lines moved from Oracle to Aurora in 12 weeks |
Frequently asked questions
Answers.
Do our developers need to stop using Cursor to adopt Aedeon?
No. Cursor is a code editor that speeds up individual developers writing daily feature code. Aedeon is an enterprise platform architects and engineering leaders use to plan, execute and verify large-scale architectural changes across dozens of services. Your developers can keep using Cursor for daily programming while Aedeon handles system-scale migrations.
How does Aedeon prove that a rewritten service behaves identically to the old one?
Aedeon deploys the rewritten service into a shadow environment and replays an asynchronous feed of recorded production traffic. It compares inputs, responses and database changes side by side. Only when the same behavior is verified on real traffic does Aedeon open production pull requests.
Can Aedeon analyze legacy architectures with sparse documentation?
Yes. Aedeon Graph was built for legacy enterprise codebases where documentation is missing or outdated. It extracts the truth directly from the code, configuration, schemas and build systems, mapping 94% to 98% of business logic automatically before any changes are planned.
How long does it take for an engineering team to onboard onto Aedeon?
Connecting one system and watching the graph build takes about an hour, with no local software to install. Engineering leaders can then run assessments on target systems and review change plans.
How is Aedeon priced for enterprise customers?
Aedeon uses a transparent subscription plus usage model. You pay for platform access and for the transformation work actually done, measured in credits. Credit usage scales with the size of the change rather than hourly consultant rates, and every plan shows its estimated credit cost before you approve it.
How does Aedeon protect proprietary enterprise intellectual property?
Aedeon is built for systems with strict data protection requirements. Code is processed in tenant-isolated environments and runs in a private VPC in your cloud, in a sovereign region, fully air-gapped, or in a single-tenant Virtual Private Aedeon. Customer code is never used to train models.
Get started
Aedeon makes changing whole systems safe.
See how Aedeon maps your entire codebase, plans system-scale evolutions, and proves every change on real traffic.
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