How Senior Engineers Use Coding Agents On Prod Infrastructure

About this episode

How do senior engineers use coding agents on prod infrastructure when “make no mistakes” is just a polite request? Kerim Satirli (HashiCorp, an IBM company) explains why prompt rules don’t hold in production, and what he runs instead. In this video, we cover: • How Infrastructure as Code (Terraform, Contentful, Datadog, Okta, Cloudflare providers) evolved from open-source PRs to automated agent harnesses • Why AI skills files and “make no mistakes” prompts are only requests, and what replaces them in production pipelines • How AI-generated pull requests are overwhelming open-source maintainers (and why projects like cURL are pushing back) • Personalized “software factories”, spec-driven development (GitHub Spec Kit), and cutting AI documentation noise with BLUF (Bottom Line Up Front) • What open-source Rust clones of Adobe mean for the future of SaaS For infrastructure engineers, DevOps practitioners, and software architects who want to move past one-shot prompting and run coding agents on production infrastructure without losing control. Timestamps: 00:00:00 - Why “Make No Mistakes” Is a Polite Request 00:00:38 - How Open Source Terraform Changed Provisioning 00:01:59 - Why API