Published 3 days ago • loading... • Updated 2 days ago

What Agentic Workflows Mean to Microservices Developers

Summary by The New Stack

Microservices changed how we build software by breaking systems into composable, independently deployable units. But as systems scale, so does the cognitive and operational load on developers — tracking dependencies, debugging across services, and managing deployments. We’re hitting diminishing returns. Enter agentic workflows: systems where autonomous agents interpret goals, plan actions, and execute tasks using the available tools. Interesting…

8 Articles

All

Left

Center

Right

The New Stack

Center

What Agentic Workflows Mean to Microservices Developers

2 days ago

Read Full Article

Unite.AI

Reposted by

thedigitalinsider.com

Bridging the AI Agent Gap: Implementation Realities Across the Autonomy Spectrum

Recent survey data from 1,250+ development teams reveals a striking reality: 55.2% plan to build more complex agentic workflows this year, yet only 25.1% have successfully deployed AI applications to production. This gap between ambition and implementation highlights the industry's critical challenge: How do we effectively build, evaluate, and scale increasingly autonomous AI systems? Rather...

2 days ago

Read Full Article

CFOtech Australia

+4 Reposted by 4 other sources

AI agents crucial to app development in APAC, says report

Salesforce's latest report reveals over 80% of APAC software leaders see AI agents as vital for app development, highlighting a shift towards low-code tools.

3 days ago

Read Full Article

Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/year