WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe • Jul 9, 2026 • Session details

When Should You Use an Agent? Architectural Trade-offs in Agentic Systems

Matheus Guimaraes

The era of coding line-by-line is over. Learn when to selectively replace rigid deterministic workflows with dynamic AI agents. Master the architectural trade-offs of autonomous systems.

Pause
Mute Enter Fullscreen
#1 about 5 min

Moving from predictable execution to autonomous agentic decision-making

Agentic architectures move beyond predictable code sequences to runtime multi-step workflows driven by intent.

#2 about 1 min

Simplifying tool integration with the Model Context Protocol

The Model Context Protocol creates a standardized layer connecting large language models to discrete microservices.

#3 about 2 min

Collaborative reasoning limits within the agent-to-agent protocol

Agents utilize the A2A protocol for chat-based collaborative reasoning while introducing new latency and turn-limit concerns.

#4 about 3 min

Applying architectural frameworks to AI development constraints

AI code generation accelerates implementation but requires developers to increasingly prioritize design records and structural tradeoffs.

#5 about 7 min

Evaluating traditional microservices routing within a baseline application

A mock store application provides a baseline example of traditional routing utilizing independent backend databases.

#6 about 3 min

Constraining natural language discovery via retrieval-augmented generation

Natural language searches require retrieval-augmented generation to ensure algorithms only recommend products found strictly within local inventory environments.

#7 about 2 min

Optimizing front-end application latency during generative operations

Deploying generative caching bounded by deterministic parameters preserves fluid and responsive user interface experiences.

#8 about 6 min

Implementing semantic search flows utilizing Amazon Bedrock foundation models

Fully managed vector databases and embedding models retrieve localized data structures before engaging external foundation models.

#9 about 2 min

Improving data relevance using granular chunking strategies for vectors

Mapping single entities strictly to individual vector chunks prevents context dilution and enhances semantic result accuracy.

#10 about 3 min

Enforcing deterministic application outputs through strict JSON prompts

Defining strict JSON schemas and utilizing mandatory tool integrations ensures large language models yield highly predictable logic paths.

#11 about 2 min

Balancing autonomous complexity using the hierarchy of agents pattern

Specialized subagents guided by overseeing parent modules replicate organizational structures to maintain efficiency during compound operations.

Matching moments

1:32 min

Architectural patterns for developing robust generative AI applications

Julián Duque Julián Duque · World Congress 2025

2:06 min

Rethinking team structures around AI agent capabilities

Mike Mike · World Congress 2025

1:30 min

Transitioning from machine learning models to complex agentic systems

Alejandro Saucedo Alejandro Saucedo · World Congress 2025

5:37 min

Architectural patterns for composing dynamic AI agents

Philipp Schmid Philipp Schmid · World Congress 2025

1:40 min

Applying event-driven architecture to AI agent communication

diabhey diabhey · World Congress 2025

1:28 min

Architecting a fellowship of tools for agentic engineering

Emmanuel Acheampong Emmanuel Acheampong · World Congress 2026 North America

More from World Congress 2026 Europe

Building the Nervous System of AI - Michael Kagan (NVIDIA) thumbnail
29:17
3 months ago

Building the Nervous System of AI - Michael Kagan (NVIDIA)

Michael Kagan, Sead Ahmetović

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote thumbnail
19:41
3 months ago

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote

Christian Heilmann

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend thumbnail
32:06
3 months ago

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend

David vonThenen

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes thumbnail
35:13
3 months ago

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes

Irina Branovic

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬 thumbnail
24:23
3 months ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Angstfreude - AI and Corporate Culture - The Thrill and the Threat thumbnail
30:26
3 months ago

Angstfreude - AI and Corporate Culture - The Thrill and the Threat

Axel Ebert, Karin Krobath

Related videos

AI Agents & Agentic AI thumbnail
26:53
Europe 2026 Virtual • 3 months ago

AI Agents & Agentic AI

Xavier Sala Presas

On a Secret Mission: Developing AI Agents thumbnail
29:03
World Congress 2025 • about 1 year ago

On a Secret Mission: Developing AI Agents

Jörg Neumann

Beyond Chatbots: How to build Agentic AI systems thumbnail
24:22
World Congress 2025 • about 1 year ago

Beyond Chatbots: How to build Agentic AI systems

Philipp Schmid

Headless by Design: Building Enterprise Systems That Agents Can Actually Use thumbnail
23:52
World Congress 2026 Europe • 3 months ago

Headless by Design: Building Enterprise Systems That Agents Can Actually Use

Dirk Gronert

Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP thumbnail
25:32
World Congress 2025 • about 1 year ago

Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP

Viktoria Semaan

The Next Wave of Agents: What’s Real, What’s Next, and What Matters thumbnail
28:43
World Congress 2026 North America • 12 days ago

The Next Wave of Agents: What’s Real, What’s Next, and What Matters

Mitesh Patel, Jay Rodge, Chi Wang, Joe Moura

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.