Codebase Behavioral Mapping for Foundation Model Query Resolution

Solution Overview

Problem

Existing tools lack intelligence to effectively respond to user queries for identifying and addressing issues within large codebases, making it challenging to maintain robust and reliable software.

Innovation Solution

Integrating a foundation model with codebase analysis to generate a prompt that includes behavioral model content and extracted code snippets, enabling the model to provide targeted responses to user queries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing tools are used to search codebases, then the tools can perform basic text search, but they lack intelligence to effectively respond to user queries for finding particular issues or behaviors

Engineering Contradiction:

Improvequery response capabilityVSAvoidtool intelligence level

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a foundation model as an intermediary between the user query and the codebase analysis. The foundation model processes natural language queries, generates relevant search terms, and provides intelligent responses about codebase issues and behaviors, bridging the gap between simple search tools and complex analysis systems.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary analysis by generating a behavioral model of the codebase before receiving user queries. This pre-computed behavioral model contains extracted code snippets, function calls, and execution paths that are ready for rapid querying, enabling intelligent responses without real-time analysis of the entire codebase.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If codebases are analyzed in detail to identify all potential issues, then comprehensive coverage is achieved, but the process becomes challenging and time-consuming

Engineering Contradiction:

Improveissue identification completenessVSAvoidanalysis time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis by generating a behavioral model of the codebase before receiving user queries. This pre-computed behavioral model contains extracted code snippets, function calls, and execution paths that are ready for rapid querying, enabling intelligent responses without real-time analysis of the entire codebase.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent extracts specific code snippets, function calls, and execution paths from the codebase to create a condensed behavioral model. This extraction process isolates the essential information needed for analysis, separating it from the rest of the codebase to enable fast and targeted querying without re-analyzing the entire codebase.

Inventive Principle:

Principle #2Taking out (Extraction)

3Productivity

If the codebase is searched without behavioral context, then search speed is maintained, but the ability to understand and respond to specific behavioral queries is lost

Engineering Contradiction:

Improvesearch speedVSAvoidbehavioral context

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system performs preliminary analysis by generating a behavioral model of the codebase before receiving user queries. This pre-computed behavioral model contains extracted code snippets, function calls, and execution paths that are ready for rapid querying, enabling intelligent responses without real-time analysis of the entire codebase.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces a foundation model as an intermediary between the user query and the codebase analysis. The foundation model processes natural language queries, generates relevant search terms, and provides intelligent responses about codebase issues and behaviors, bridging the gap between simple search tools and complex analysis systems.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250251916A1Query resolution using codebase analysis and generative artificial intelligence models

Publication Date: 2025.08.07 APPLAND INC

AI summary

Technology for assisting software developers in searching, understanding, and identifying particular portions of codebases is provided herein. With the given tools, a user can submit a natural language query. The system will analyze the query and identify relevant portions of the codebase using a previously generated behavioral map of the codebase. Once relevant portions of the codebase are identified, the system generates a prompt for submission to a foundation model to elicit a response to the user's query. The response provided to the user will be complete and relevant to the user's particular codebase.