Predict deployment behaviour in 1 click

AI is writing majority of the world’s code — great for devs, terrifying for SRE teams. eyflo simulates deployments and stops surprises before they hit production.

75% of incidents could be predicted with better CI/CD observability.

CI/CD is still playing catch up!

It is not capable of handling rapid AI code push and observability is missing for teams that ensure SLA. Blue-green deployments help but have limitations. Modern AI authored code and frequent PRs need a new safety net — simulated deployments and behaviour prediction on the edge.

CI/CD illustration
  • Infrastructure heavy
  • Requires constant monitoring
  • Missing business logic guardrails
  • Cost heavy adoption

How does eyflo work?

Integrate with your codebase
Plug in a small agent or webhook.
Make a code PR to main
Push events trigger simulations.
New code is checked by AI on edge
Static + dynamic analysis for safety.
Application behaviour is simulated
No more surprises for SRE.

Simulating

DB, Application, Network logs on the edge.

Lower operating cost

Compared to blue-green deployments.

Easy to Integrate

Plug and play, near 0 time to value.

Case Study — The Repl.it Disaster

SaaStr adopted Repl.it quickly and adopted AI without solid CI/CD guardrails. SRE and DevOps lacked tools to prevent rapid unintended changes that caused data loss.

  • SRE teams were not equipped with right tools for AI-driven changes.
  • CI/CD tools still playing catch-up with rapid AI adoption.
  • AI prefers modern libraries, causing friction with legacy systems.
Our validation for eyflo comes from Repl.it’s incident — imagine preventing such failures by simulating deployments before they run.
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