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AssuredCode (tm)

Deterministic software generation, governance, and assurance. 

AssuredCode is a deterministic software generation platform that transforms formal specifications into production-ready software artifacts with full traceability, auditability, and governance.

 

Unlike probabilistic code assistants that may generate different outputs from identical inputs, AssuredCode is designed to produce the same result every time from the same approved specification. Every generation is reproducible, auditable, and suitable for environments where consistency and accountability matter.

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Benchmarking

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Benchmarks were performed on IBM Cloud bare metal so energy usage could be determined using RAPL. The test suite included code generation for multiple languages such as Python, C and Java - Across five runs, the AssuredCode Validation Harness completed 879 passing tests with one expected skip in a mean measured time of 34.079 seconds. Mean package energy was 6.552 kJ, with estimated incremental package energy of 1.927 kJ above idle, equivalent to approximately 2.19 J per passing test. Total-energy variation across runs was 0.71%. Code was not only generated but compiled and tested. Energy savings versus LLM code generation are significant. AssuredCode can operate well in the offloading LLM scenario where the LLM plays the role of an analyst conversing with the engineer then submitting specs to AssuredCode. See Figures 1 and 2 below.

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Key Capabilities


Deterministic Generation

Generate software from approved specifications with reproducible outputs. The same specification produces the same result, enabling repeatable builds, validation, and compliance workflows.

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Specification-Driven Development

Software is generated from formal grammars and specifications rather than free-form prompts. New languages and formats can be added through grammar definitions without retraining foundation models.

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Governance and Auditability

Every generation is accompanied by traceable artifacts including specifications, generation history, validation results, deployment receipts, and audit records.

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Customer-Controlled Deployment

AssuredCode can operate entirely within customer-controlled environments. No generated source code must leave the customer boundary unless explicitly configured to do so.

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Enterprise Validation

Integrated validation workflows support syntax checking, specification verification, dependency governance, and deployment approval processes.

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Architecture

AssuredCode combines formal specifications, grammar-driven generation, deterministic transformation engines, and governed deployment workflows to provide a controlled alternative to traditional AI code generation.

Organizations can integrate vendor-managed knowledge sources, customer-managed repositories, or internal RAG systems to provide contextual awareness while maintaining control over data access and governance policies.

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AssuredCode Process

Figure 1 - AssuredCode Process

Ideal Use Cases

 

  • Regulated software development

  • Autonomous Military Systems

  • Financial services

  • Healthcare systems

  • Government and defense

  • Enterprise integration projects

  • Legacy modernization

  • Specification-driven development

  • Controlled code generation environments

Benefits

 

  • Reproducible results
     

  • Reduced validation effort
     

  • Improved software quality
     

  • Full auditability
     

  • Reduced governance risk
     

  • Customer-controlled deployment
     

  • No dependence on externally generated source code​​

AssuredCode Inter.png

Figure 2 - The engineer interacts with an LLM to create a spec which is submitted to AssuredCode. The code is either returned to the user or can be reviewed, tested and deployed

AssuredCode.png

Figure 3 - An event occurs and a pre-tested spec template is populated and submitted to AssuredCode. The code is generated, tested and deployed into the specified environment. 

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Autonomic AI, LLC - AWS and IBM Partner

UEI: YAYREBPA5DP8
CAGE: 202Z5
Registered in SAM.gov
Formally verified in Lean 4 · Published on Zenodo ·
Enterprise and research-focused software. No consumer data collection.

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