Agents Are Where Microservices Were in 2015. We're Making All the Same Mistakes.
Conference Context
- Date/time: 2026-06-30 · 2:50pm-3:10pm
- Track/room: AI-Native Enterprises · Leadership 1
- Speaker(s): Roberto Milev, Uday Kanagala
- Session type/status: session · confirmed
- Track: AI-Native Enterprises
- Room: Leadership 1
- Session type: session
- Status: confirmed
Session Description
Remember when everyone was shipping microservices without service discovery, circuit breakers, or distributed tracing? Agents are in that exact phase right now. Everyone's building them. Almost nobody is thinking about the infrastructure underneath. We've been deploying production agents across 120+ microservices. Here's the stack that's emerging: Runtime — containerized execution, session persistence, workspace snapshots. Solved-ish, mostly duct tape. Memory — RAG had a good run. It's not enough. Tiered memory — short-term, long-term with semantic/episodic strategies, agents deciding what to remember and forget. Observability — you can't tail -f an agent. Execution traces, reasoning chains, confidence signals — agents need their own observability stack. Testing — the biggest gap. Unit testing non-deterministic behavior, regression testing prompt changes, knowing your agent got worse before users do. Skills and tools — MCP and skill definitions as the standard interface layer — the REST APIs of the agent era. Context engineering — what the agent knows at decision time. The new performance tuning. Guardrails and auth — scoped credentials, budget limits, knowing when to stop. Least-privilege for agents. Orchestration — single vs. multi-agent, choreography vs. orchestration. Same tradeoffs as microservices, new failure modes. This talk maps the stack, draws the parallels to how we eventually got microservices right, and calls out what's still painfully missing.
Media Evidence
No related AI Engineer channel video found yet.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
No linked video, transcript, or slide source has been attached yet.
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
Agents Are Where Microservices Were in 2015. We're Making All the Same Mistakes. ## Conference Context - Date/time: 2026-06-30 · 2:50pm-3:10pm - Track/room: AI-Native Enterprises · Leadership 1 - Speaker(s): Roberto Milev, Uday Kanagala - Session type/status: session · confirmed - Track: AI-Native Enterprises - Room: Leadership 1 - Session type: session - Status: confirmed ## Session Description Remember when everyone was shipping microservices without service discovery, circuit breakers, or distributed tracing? Agents are in that exact phase right now.
Speaker And Company Context
- Roberto Milev — Chief Architect at Navan.
- Uday Kanagala — Software Architect at Navan.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.