The Computing Community Consortium (CCC) is pleased to announce the release of Key Recommendations for Industry on Trustworthy Software Engineering with AI, a new brief written for industry audiences. It is based on the recent CCC report Beyond Code: Engineering Trustworthy Software Systems with AI at Scale. The brief identifies where companies, including their research teams, can act on the report’s findings to build trustworthy, complex software systems with AI at scale.
Read the Brief Here
The report comes from the CCC Beyond Code: Engineering Trustworthy Software Systems with AI at Scale workshop held in February 2026, generously supported by the National Science Foundation and the IEEE Computer Society. It brought together experts from academia, industry, government, and national labs to explore how AI-assisted development can produce software that is cost-effective, verifiable, secure, and maintainable. Participants found that current techniques, processes, and training fall short in several areas. These include capturing user intent, meeting quality attributes like security and performance, and keeping review and deployment practices in step with the volume of AI-generated code. Industry participants in the workshop included Amazon, Microsoft, Intel, Atlassian, Peraton Labs, Leibniz Labs, Byggr, and Storer Enterprise Strategy.
Why Industry Action Matters
Industry is at the forefront of adopting AI-assisted development, and is well positioned to shape how it matures. The speed and volume of AI-generated code is outpacing human review capacity, and the bottleneck in software development is moving from implementation to requirements and specification. The brief identifies where industry’s resources and expertise can help address the challenges ahead, from security vulnerabilities to codebases that future teams cannot maintain.
Key Recommendations
The brief offers targeted recommendations for five roles within industry:
- Industry leaders: workforce reskilling, automated quality assurance, intellectual property risk, and legacy code modernization
- Industry partners in academic research: access to frontier compute, the scope of industry-academic partnerships, and foundational research
- Industry researchers: requirement elicitation, formal interfaces for agent communication, and AI-assisted deployment
- Model providers: verification, security, and attribution and training data licensing
- Developer tool and platform builders: IDE design, specification and verification pipelines, traceability, security interfaces, and deployment agents
Read the Brief and Full Report
Read the Key Recommendations for Industry on Trustworthy Software Engineering with AI brief here. For the complete findings and research directions behind each recommendation, we encourage the entire computing research community to read the full Beyond Code report here.
Tune in to the CCC LinkedIn Showcase Page for updates and more resources like this. Stay connected with CCC for the latest insights, publications, and opportunities to engage by subscribing here.
This material is based upon work supported by the U.S. National Science Foundation (NSF) under Award Nos. 2300842 and 2619366. These awards support the Computing Community Consortium (CCC), a programmatic committee of the Computing Research Association (CRA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
