Tag
agentic workflows
Agentic workflows are systems where AI agents plan, act, and adjust with limited human input, often across coding, support, ops, and data tasks. For developers, the key issues are staged checks, shared state, and control over failure modes.
8 articles
Microsoft’s Copilot super app fixes app-hopping
I break down Microsoft’s Copilot super app plan and turn it into a copy-ready pattern for unifying scattered AI tools.
Make lets you wire AI workflows without code
I break down Make’s visual automation flow and give you a copy-ready template for AI workflows.
Claude HUD Adds Live Status to Claude Code
Claude HUD adds a live status bar to Claude Code for context, usage, tool calls, agents, and todo progress.
Why OpenAI Is Right to Put Codex on Phones
OpenAI’s move to mobile makes Codex more useful, not less, by turning coding agents into always-available workflow tools.
How to Evaluate Kimi K2.6 for Coding
Evaluate Kimi K2.6 for coding, agentic workflows, and cost before switching your stack.
Why Multi-Agent Coding Feels Like Distributed Systems
A Hacker News thread argues agentic coding needs staged gates, deterministic checks, and shared state, much like a distributed system.
Which AI Coding Tools Developers Use at Work
JetBrains’ survey of 10,000+ developers shows 90% use AI at work, while Claude Code, Copilot, and ChatGPT lead daily coding use.
What Agentic Workflows Actually Do in Enterprise AI
Agentic workflows let AI agents plan, act, and adapt with little human input, changing how teams handle support, ops, and data work.