News / Software, Web & Apps
Software Quality Assurance (SQA) is revolutionizing development with AI and automation Published on 29 September 2026 by Christ-loisele (3 min read)
Early integration of testing and the growing use of artificial intelligence in the software development lifecycle (SDLC) are transforming quality assurance methods. According to a recent survey, 84 percent of developers are already adopting these tools to reduce costs and delays related to software defects.
Video: Stack Overflow Developer Survey 2025 (HTML All The Things, YouTube) A dynamic and integrated approach rather than a one-off process
Software Quality Assurance (SQA) is no longer limited to a final-stage control phase. Modern practices, such as shift-left analysis , move verifications to the earliest stages of the development lifecycle (SDLC), even before the code is fully written. This method allows defects to be detected and corrected earlier, thus avoiding high costs in the production phase.
According to the Consortium for Information & Software Quality (CISQ) , poor software quality costs at least $2.41 trillion annually in the United States, a figure that highlights the economic impact of ineffective SQA. In West Africa, where software projects are often subject to tight budget constraints, this approach could significantly reduce the additional costs linked to late-stage corrections.
Software Quality Assurance is no longer limited to a final-stage control phase but is integrated from the moment code is written to avoid exorbitant costs in the production phase.
Illustrative photo: laptop (Darakshanehaluddin, CC0) AI and automation at the heart of modern SQA tools
The use of artificial intelligence in software development is expanding rapidly, with 84 percent of developers using or planning to use AI-based tools, according to the 2025 Stack Overflow Developer Survey . Platforms like Qodana , developed by JetBrains, integrate these technologies to automate static analysis, coverage testing, and even vulnerability detection in complex codebases.
These tools help identify hidden defects in modern architectures such as microservices or third-party integrations, which are often difficult to spot with manual methods. However, a balance remains necessary between automation and human review to avoid false positives or critical errors slipping through the cracks.
CI/CD pipelines accelerate release cycles
Modern development cycles, marked by CI/CD (Continuous Integration/Continuous Deployment) pipelines, reduce time-to-market. Code now moves from writing to production deployment in days, or even hours, with minimal manual intervention. In this context, SQA tools must adapt to ensure consistent quality despite this speed.
Static analyzers, automated testing frameworks, and performance measurement tools target specific goals at each stage of the SDLC. For example, a static analyzer can detect syntax errors or security vulnerabilities as soon as code is written, while a performance test assesses the software's robustness before deployment.
What this changes here
For businesses and government agencies in Benin and West Africa, where software engineering resources can sometimes be limited, adopting these practices could reduce maintenance costs and improve the reliability of critical systems. For example, banks and financial institutions could benefit from enhanced SQA to secure their payment platforms, while local startups would gain competitiveness by delivering more stable software products compliant with international standards.
The integration of tools like Qodana or other automation solutions would enable local teams to detect vulnerabilities earlier in projects often developed under tight time and budget constraints. However, this would require tailored training to master these technologies, as well as an initial investment in compatible licenses or infrastructures.
Finally, adopting CI/CD pipelines could speed up updates for administrations, such as public services or e-governance platforms, by enabling more frequent and secure deployments. This would address the growing need for IT system modernization in the region while maintaining high-quality standards.
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