60-minute live session: 40-minute presentation + 20-minute Q&A
The Problem
For half a century, every tool, process, and organizational structure in software was built around one assumption: writing code was the bottleneck.
Operations teams existed to remove distractions from engineers. CI/CD pipelines maximized iteration cycles. “Serverless” and “NoOps” promised to eliminate infrastructure concerns entirely. The entire industry was exploiting the constraint- if writing software took the most effort, devote maximum time to it.
Agentic software development has shattered that assumption.
Engineers are running multiple AI coding agents in parallel, each interpreting requirements into implementation plans, into code. Pull requests are flowing at rates your pipeline was never designed to handle.
Writing code isn’t the constraint anymore. Operating it is.
What Happens Downstream
You just unleashed a tsunami into your value stream. Every component downstream of code generation is about to be stress-tested to its limit:
- Code reviewers drowning in PRs they can’t meaningfully evaluate
- CI/CD systems hitting capacity they were never sized for
- Testing strategies that can’t keep pace with the rate of change
- Observability where signal-to-noise ratios collapse
- On-call teams firefighting constantly as failure modes compound
- Learning loops that can’t close fast enough to prevent repeat incidents
These aren’t hypothetical failure modes. It was already happening to rapidly-growing companies. The question isn’t “will this happen to us?” It’s “where will we break first?”
What You’ll Learn
This webinar covers where organizations break under AI-accelerated velocity- and what to do about it.
- Where SRE teams break under 10x velocity: postmortems, toil, on-call, and expertise gaps
- How to assess your organization’s readiness before the tsunami hits
- What table-stakes infrastructure you need NOW
- How SLOs become essential feedback control systems at high velocity
Who Should Attend
- VPs and Directors of Engineering adopting AI coding tools without a plan for downstream impact
- SRE and Platform Leaders already feeling the pressure of increased deployment velocity
- CTOs and Technical Leaders making decisions about AI tool adoption who need to understand the operational risk trade-offs
About Your Host
Amin Astaneh is the founder of Certo Modo, a DevOps/SRE consultancy serving enterprise SaaS companies. After 15 years building resilient systems from rocket ship startups to Big Tech (Meta, Acquia), he’s learned that reliability problems are rarely technical- they’re organizational.
He hosts the Reliability Rebels podcast and offers RAPID (Rapid Assessment of Production In-Depth)- a structured diagnostic that identifies exactly where your operations are misaligned- and which improvements create the biggest impact.