No: the latest annual figures do not show CNCF projects graduating faster than ever. The Cloud Native Computing Foundation reported four graduations in 2025, down from six in 2024. And although CNCF describes a structured, TOC-led due-diligence process, its public guidance does not establish that AI agents are helping conduct those reviews.
Do the latest figures show CNCF graduations speeding up?
No. CNCF’s 2025 annual report records four projects graduating during 2025. Its 2024 annual report records six graduations in 2024. That is a lower annual count in the latest reported comparison, not evidence of a record pace.
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These figures count projects that moved to Graduated in each year. They do not measure how long an individual project’s review took. CNCF’s Project Metrics page has interactive charts for project counts and annual movements, but the reviewed page text does not supply a complete historical graduation series. A claim that projects are graduating “faster than ever” would need a comparable time series and a clear definition of speed, such as annual graduation counts or elapsed time between maturity stages.
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What does CNCF mean by project graduation?
Graduated is a maturity status in CNCF’s project lifecycle, not a guarantee that a tool is the newest, most popular, or right for every organization. CNCF groups projects into Sandbox, Incubating, and Graduated levels and also tracks archived projects. Its Project Lifecycle and Process page describes the levels and their progression.
How CNCF due diligence works
The Technical Oversight Committee (TOC) conducts an independent, point-in-time assessment of a project’s posture, maturity, and adoption. The TOC Due Diligence Guide explains that the review considers technical, governance, and community matters, using project claims and discoverable evidence such as public websites, repositories, files, and other project artifacts. Findings are recorded in a due-diligence pull request.
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The review evaluates whether a project meets expectations for the maturity level it is seeking. It is intended to assess outcomes rather than require one prescribed implementation: the TOC can document deviations, recommendations, blockers, and compensating mechanisms. For adopters, the assessment can help make gaps and the likely work of adoption and integration more visible.
Reviews happen at maturity transitions
Under the current guide, Sandbox projects undergo due diligence when applying to Incubation, and Incubating projects do so when applying to Graduation. A project does not receive another due-diligence review simply because it has graduated.
Adopter interviews are part of the assessment
The graduation review includes an adoption evaluation based on interviews, as shown in the Graduation Due Diligence Template. CNCF Contributors’ August 2, 2026 update says an application to move levels must submit five to seven potential adopters. The TOC selects at least three to interview and can request additional interviews to hear a broader range of views.
That coordination is one part of the process, but the published figures do not establish how long reviews take overall. The completed review is presented for public comment; concerns may need to be resolved before the assessment is complete.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Are AI agents helping with CNCF due diligence?
Public CNCF guidance reviewed for this article does not verify that AI agents are used to conduct or assist with TOC due diligence. It describes human-led evaluation of project evidence, criteria, and adopter input, but does not identify an AI deployment, its tasks, its human oversight, or measured effects on review time or quality. That absence in the public material is not proof that no reviewer has experimented privately with AI tools; it does mean agent assistance should not be presented as an established CNCF-wide practice.
CNCF does publish material about AI and automation, but it addresses different subjects. Its Automated Governance Maturity Model, published in May 2025, organizes guidance for governing automated systems under Policy, Evaluation, Enforcement, and Audit. It is not evidence that agents review CNCF projects.
Likewise, CNCF’s August 17, 2026 Kubeflow graduation announcement describes agentic workloads in Kubeflow’s future roadmap. That is about a project’s planned capabilities, not automation of the TOC’s due-diligence process.
What would substantiate a claim of AI-assisted reviews?
A useful account would identify which review tasks are automated—such as finding documents, mapping evidence to criteria, triaging risks, summarizing interviews, or drafting findings—and explain who verifies the output and makes decisions. It would also disclose the evidence used and provide a dated measure of any change in review time or quality. The public sources cited here do not establish a CNCF-wide implementation or such a performance comparison.
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