Unified Build System for Distributed Applications
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Solution Overview
Problem
Existing build tools are limited in generating software builds for multiple targets, requiring separate runs and inputs for each target, and lack efficiency in managing distributed applications that span across different environments like server and browser.
Innovation Solution
A build system that scans a source project folder to generate a source graph, compiles code for multiple targets using this graph, links and writes compiled code, and creates a distribution manifest file, enabling efficient generation of software builds for distributed applications across various targets like server and browser.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing build tools are used to generate software builds for multiple targets, then each target can be built separately, but the process requires multiple separate runs and manual input changes, reducing productivity
Solution Approach 1:
The build system is designed to handle multiple build targets (browser, server, mobile) through a single unified interface. The system automatically detects the target type and configures appropriate build parameters, eliminating the need for manual input changes between targets. This multi-functionality allows developers to build for different platforms without learning different tool workflows.
Solution Approach 2:
The build system performs automatic target detection and configuration based on the source code structure and declared dependencies. It self-adjusts build parameters, selects appropriate compilers and linkers, and manages the build process without requiring manual intervention for each target. This automation significantly reduces operational complexity while maintaining high productivity.
2Productivity
If separate build runs are performed for each target, then each target can be optimized individually, but the total build time increases
Solution Approach 1:
The system merges multiple build operations into a single coordinated process. It combines source code analysis, dependency resolution, and compilation for multiple targets into one unified build run. By sharing common build artifacts and intermediate results across targets, the system eliminates redundant work and reduces total build time while maintaining individual target optimization.
Solution Approach 2:
The build system performs preliminary analysis of the source code structure and dependencies before initiating target-specific compilation. It pre-resolves common dependencies and prepares shared build artifacts that can be reused across multiple targets. This preliminary action prevents redundant compilation work and significantly accelerates the overall build process.
3Ease of operation
If a unified build system is implemented for multiple targets, then build process is simplified, but the system complexity increases
Solution Approach 1:
The unified build system is segmented into distinct modular components: source code analyzer, dependency resolver, target detector, compiler manager, and artifact assembler. Each component has a specific responsibility and can be independently configured or replaced. This segmentation maintains simplicity at the user interface level while managing internal complexity through clear separation of concerns.
Solution Approach 2:
The system introduces an intermediary build manager that sits between the user and the complex build processes. This mediator handles target detection, parameter configuration, and coordination of multiple build operations, shielding users from underlying complexity. The intermediary translates simple user requests into coordinated actions across multiple build components.
4Manufacturing precision
If manual configuration is used for each build target, then precise control is achieved, but time consumption increases
Solution Approach 1:
The system automatically changes build parameters based on detected target characteristics. It adjusts compiler flags, optimization levels, and output formats according to the target platform without manual intervention. This dynamic parameter adjustment maintains precise build configuration for each target while eliminating the time-consuming manual configuration process.
Data Source
AI summary
The present disclosure describes a method and system for generating and managing software builds for distributed applications includes scanning the source project folder to generate a source graph representing file dependencies within the source folder; compiling the one or more files in the source project folder to generate compiled code for each of the plurality of targets using the source graph; linking and writing the compiled code as linked files or written files for one or more of the plurality of targets; and writing the distribution manifest file to a build directory, the distribution manifest file including the linked or written files.