AI for Everything After Code
summary
Claims concrete outcomes: AI embeds security scans (Semgrep, GitLeaks), surfaces reachable vulnerabilities and AI creates PR fixes for developer review, estimates ephemeral environment cost predeploy (example flagged a 184.3% cost spike), enforces SLO-driven canary rollbacks and automates ServiceNow/Jira change tickets. Platform treats delivery as a product with templatized pipelines, Terraform workspaces, wide connectors and golden paths; one customer reports reduced downtime by 50% after adding resiliency tests and automated gates.
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chapters (15)
- 0:00Introduction
- 1:47AI after code delivery
- 3:53AI-generated code explosion
- 5:40Platform as a product
- 7:04Security and cost in pipelines
- 8:29AI in delivery approach
- 10:17Golden and safe paths
- 12:05AI remediation shift-left
- 13:29Risk and compliance automation
- 15:13Cost signals for innovation
- 16:39Demo: golden path pipelines
- 22:38Security shift-left in practice
- 24:41Budget visibility and control
- 25:43AI observability and rollbacks
- 26:48Key practices and closing
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