AI Engineer topic

Agent efficiency

16 AI Engineer conference talks about Agent efficiency.

AI Engineer World's Fair 202619:38

An AI Future Without the Lock-In — Remy Guercio, Tailscale

Remy Guercio

Architecture · Vendor lock-in · AI gateways

AI Engineer World's Fair 202618:32

The Software Factory: From Bug Report to Production Code — Davis Palmie, Factory

Davis Palmie

Software factory architecture · Developer workflows and testing · Agent readiness

AI Engineer World's Fair 202619:49

Pinecone 2.0 — Edo Liberty, Pinecone

Edo Liberty

Theory of mind · Tribal knowledge · RAG and knowledge systems

23:21

Grep or Embeddings? Agentic Search Over Company Documents — George He, LlamaIndex

George He

Agentic search · Enterprise knowledge retrieval · Hybrid search

1:01:28

Lifestyles of the AI-Native — Nick Nisi & Zack Proser, WorkOS

Zack Proser · Nick Nisi

Coding agents · Speech and audio · Agent orchestration

AI Engineer World's Fair 202619:39

From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot

Jose Palafox

Coding agents · Coding harness · Agent engineering

18:14

Agentic Search vs Vector Search for Coding Agents: We Ran the Eval — Braintrust

Jess Wang

Evals · Coding agents · Agentic search

AI Engineer Code 202518:43

MCP Doesn't Suck. Your Agent Does. — Jan Čurn, Apify

Jan Curn

APIs, MCP, and protocols · Agent engineering · Context windows

17:26

We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman

Kamalakannan Nandagopal

Coding agents · APIs, MCP, and protocols · RAG, context, and search

AI Engineer Code 202518:08

Stop Rationing Tokens: Let the Harness Pick the Model — Kimchi by Cast AI

Laurent Gil · Žilvinas Urbonas

Coding harness · Agent efficiency · Agent orchestration

AI Engineer Code 202516:49

Why 99% Accurate Browser Agents Still Fail — Derek Meegan, Browserbase

Derek Meegan

Agent engineering · Long-horizon tasks · Evals

AI Engineer World's Fair 202618:31

From 36% to 100%: How Self-Improving Agents Write Their Own Skills — Rafal Wilinski, Runlayer

Rafal Wilinski

Skill improvement loops · APIs, MCP, and protocols · Tribal knowledge

19:09

The State of AI in Software Development: Data from 400+ Orgs — Justin Reock, DX

Justin Reock

Coding and developer tools · Developer workflows and testing · Observability and reliability

AI Engineer World's Fair 202619:44

Beyond RAG: A Relational Context Engine That Cuts Token Burn — Unblocked

Peter Werry

RAG, context, and search · Coding agents · Agent efficiency

AI Engineer World's Fair 202620:35

Agent Memory Is Solved. Agent Learning Isn't. — Karthik Ranganathan, Yugabyte

Karthik Ranganathan · Heather Downing

Agent engineering · Information and coordination · Knowledge curation

AI Engineer World's Fair 202617:50

AI Agents Don't Read Your Policy Docs. They Hit Your APIs — Gravitee

Sam Prodger

Safety and governance · Agent permission systems · APIs, MCP, and protocols