Comparing Code-Driven and LLM-Driven Workflows for Internal Agent Development
When I started this project, I knew deep in my heart that we could get an LLM plus tool-usage to solve arbitrarily complex workflows. I still believe this is possible, but I’m no longer convinced…
Read the full articleYou might also wanna read
Mastering agentic workflows with ADK: the recap
Over the past few articles, we’ve taken a deep dive into the powerful agentic workflow orchestration capabilities of the Agent Development K
LLM Pipelines Explained: How to Choose Between Chains, Flows, and Orchestrators
As AI developers increasingly string multiple LLM calls together, choosing the right tool to manage these workflows has become a common sour
Separating Problem Solving from Code Generation: Evaluating LLMs on Competitive Programming Through Natural-Language Editorials
Large Language Models (LLMs) increasingly succeed on competitive programming problems, yet existing evaluations conflate algorithmic reasoni
arxiv.org·10d agoHow AI Agents Actually Work Under the Hood
Demystifying the agentic loop: understand how LLMs suggest actions, how Python validates and executes them, and why this matters for product
AI-Powered Code Review: A Framework for Agentic Workflows in Software Development
Code review has evolved for decades, from informal peer checking to today's pull request (PR) workflows, yet it remains a largely manual and
arxiv.org·1mo ago
Reimagining Workflows: The Next Frontier for Large Language Models
A new conceptual model for LLM workflows promises persistent, reviewable knowledge objects, redefining how we interact with AI processes.
Comments
Sign in to join the conversation.
No comments yet. Be the first.