Production Notes on Enterprise AI Agents
Principal Engineer at StackGen, building enterprise AI agent platforms in Go.
I write about the engineering decisions, production bugs, and hard-won lessons from building an AI agent runtime and Aiden — StackGen’s multi-tenant agent orchestration platform for enterprise SRE and platform teams.
Featured by CNCF: You Can’t Debug What You Can’t See — Observability for AI Agents
Start here
Pick a path — don’t start from a 40-post wall:
| Path | Best for |
|---|---|
| SRE on-call starter pack | Triage, RCA, observability — 5 posts |
| Go agent runtime starter pack | Runtime definition, Go vs Python, platform split — 5 posts |
| Full series (searchable) | Month-folded archive + search |
Or read these four in order:
- What Is an AI Agent Runtime? — plain definition of the production agent loop
- Go vs Python for AI Agents — why we chose Go for a production agent runtime
- What Are SRE AI Agents? — triage vs RCA vs remediation without demo theater
- AI Incident Triage for SREs — What Actually Helps On-Call — what actually helps on-call (on StackGen)
Pocket checklists
Shareable operator checklists (no proprietary schemas):
Topic hubs
- AI agent runtime — what a runtime is vs a GenAI platform
- AI agent workflows — bring-up, evidence-gated RCA, verification
- AI agents for SRE — triage, observability, tokenomics
- AI incident triage — on-call triage vs demo theater
- Go AI agents — language choice, platform architecture
Aiden — Enterprise Agent Platform
What Is an AI Agent Runtime? — plain definition of the production agent loop.
AI Agent Runtime vs Platform — Why We Split Them — the engineering trade-off behind turning a single-user CLI agent into a multi-tenant enterprise platform.
Stay in the loop — production notes on AI agents, workflows, and SRE.
Low volume — new posts and curated reading lists. Unsubscribe anytime.
Connect
- Newsletter: Subscribe on Substack · Issue #1 — Start here · RSS
- GitHub: @sks
- LinkedIn: Sabith
- Company: StackGen