Can Bolt and Aedeon be used together in an enterprise?
Yes. Web developers can use Bolt for rapid frontend ideation and prototyping in a browser sandbox. Aedeon operates at the enterprise infrastructure layer, giving chief architects and engineering leaders the system-wide semantic intelligence, coordinated multi-repo planning and production traffic proof required to evolve enterprise backends safely.
Why can't browser-based AI environments handle large enterprise repositories?
Browser-based development environments run inside client WebAssembly containers subject to strict browser memory limits and sandboxing. Enterprise codebases often span hundreds of gigabytes of code, complex dependency trees, native binaries and deep database schemas that cannot compile or execute inside a browser tab.
How does Aedeon Graph index legacy polyglot codebases?
Aedeon Graph indexes source code, build scripts, database schemas and configuration files across languages such as Java, C#, Python and SQL. It extracts semantic entities and relationships, mapping overloaded methods, ORM mappings, interface implementations and service-to-service RPC boundaries across all connected repositories.
How does Aedeon validate changes without impacting live customer transactions?
Aedeon Evolve deploys modified services into an isolated shadow environment that receives an asynchronous mirror of live production traffic. It compares outputs and database mutations between the legacy system and the new implementation, verifying behavioral equivalence without impacting live users or production databases.
What deployment options are available for highly regulated enterprises?
Aedeon runs in a private VPC in your cloud on AWS, Azure or Google Cloud, in a sovereign region, or fully air-gapped. Virtual Private Aedeon is a single-tenant instance, and you can bring your own keys to satisfy strict regulatory and compliance requirements.
How does Aedeon Supervisor prevent architectural regressions?
Aedeon Supervisor is a proprietary system one pre-trained planning model, trained on two decades of enterprise evolution and refactoring best practices. Rather than guessing next steps through free-form prompting, it decomposes architecture changes into formal, phased transformation steps with explicit validation checks at every boundary.