Spring AI and AgentCore: Building Enterprise AI Agents in Java

episode

Previously titled “Episode 200: Java & Spring AI Are Winning the Enterprise AI Race — with James Ward & Josh Long” — renamed by the publisher on Aug 5, 2026

The AWS Developers Podcast not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

recent transcribed audio

Midterm Warning Signs For GOP, UK Terror Suspects Released, Cornell Case Reopened: AM Update 9/29 20 min · 29 Sep 2026 · The Megyn Kelly Show

Episode 183 - The Power 2h 1m · 29 Sep 2026 · Grits and Eggs Podcast

The AI Instinct, with Rana Gujral | (Technology, Business, Decision Making, Leadership) 24 min · 29 Sep 2026 · The Action Catalyst

DA Re-Opens Cornell Rape Case 30 min · 29 Sep 2026 · Start Here

You Should Be In The Thick of It | How Oprah Discovered Stoicism 18 min · 29 Sep 2026 · The Daily Stoic

NPR News: 09-29-2026 5AM EDT 5 min · 29 Sep 2026 · NPR News Now

Report any issue

Source

Recorded18 Mar 2026

Publisherdevelopers.podcast.go-aws.com ↗

Handlerec:17304679

Show notes

It's a milestone — episode 200! And to mark the occasion, we're doing something we've never done before: hosting two guests at the same time. James Ward (Principal Developer Advocate at AWS) and Josh Long (Spring Developer Advocate at Broadcom, Java Champion, and host of 'A Bootiful Podcast') join Romain for a wide-ranging conversation about why Java and Spring AI are becoming the go-to stack for enterprise AI development. We kick off with Spring AI's rapid evolution — from its 1.0 GA release to the just-released 2.0.0-M3 milestone — and why it's far more than an LLM wrapper. James and Josh break down how Spring AI provides clean abstractions across 20+ models and vector stores, with type-safe, compile-time validation that prevents the kind of string-typo failures that plague dynamically typed AI code in production. The numbers back it up: an Azul study found that 62% of surveyed companies are building AI solutions on Java and the JVM. James and Josh explain why — enterprise teams need security, observability, and scalability baked in, not bolted on. We dive into the Agent Skills open standard from Anthropic and James's SkillsJars project for packaging and distributing agent skills via Maven Central. We also cover Spring AI's official Java MCP SDK (now at 1.0) and how MCP and Agent Skills complement each other for building capable, composable agents. The performance story is striking: Java MCP SDK benchmarks show 0.835ms latency versus Python's 26.45ms, 1.5M+ requests per second versus 280K, and 28% CPU utilization versus 94% — with even better numbers using GraalVM native images. Josh and James also walk us through Embabel, the new JVM-based agentic framework from Spring creator Rod Johnson, featuring goal-oriented and utility-based planners with type-safe workflow definitions built on Spring AI foundations. We close with a look at running Spring AI agents on AWS Bedrock AgentCore — memory, browser support, code interpreter, and serverless containers for agentic workloads.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related