In Part 1 of this blog series set the stage for why platform engineering is being reshaped by agentic AI. (read it here) Basically we outline how instead of humans translating intent through layers of CLIs, SDKs, and bespoke workflows, capable agents can interpret natural-language goals and turn them into safe, validated platform actions using w...

For the last decade, platform engineering has relied on explicit API interaction layers: CLIs, SDKs, pipelines, wrappers, and UI workflows that translate human intent into machine‑safe API calls. AI agents are now short‑circuiting much of that stack. By combining natural language understanding, reasoning, and direct access to API specifications and...

While the promise of AI continues to generate momentum, many organizations face a familiar challenge: getting AI projects beyond the prototype phase. According to Gartner, only 30% of AI initiatives make it into production, and RAND reports that up to 80% fail to deliver expected outcomes.   The problem isn’t model quality — it’s platform readin...