Blog
Read about what we're up to and what we're learning along the way
Read about what we're up to and what we're learning along the way
16 articles
GeekWire covers SageOx's $15M seed round and our mission to build shared context infrastructure for AI-native teams.
A shared context layer that captures decisions, intent, and history to keep humans and AI agents aligned.
VentureBeat explores how SageOx is solving the context gap between AI agents and the human conversations that shape team decisions.
The unexpected journey from AI coding assistants to embedded systems. How a side project led SageOx into the world of firmware development and hardware integration.
Galex Yen shares insights on building a skill for Open Claw — from navigating Claw Hub security scans to optimizing token usage for hands-off automation.
Part 5 of our How We Work series. Ryan Snodgrass on how branch management, commit strategies, and repo structure need to evolve when AI agents are writing most of the code.
A 10-minute look at how we operate as an AI-native team — from ideation to execution — with a real-world example from Pier 70 in Seattle.
Part 4 of our How We Work series. Ryan Snodgrass on using multiple AI models for design work — and why ChatGPT generates better design prompts than Claude for visual tasks.
Part 3 of our How We Work series. Ryan Snodgrass on why seeing how your teammates prompt and reason with AI coworkers is one of the biggest learning accelerators.
Part 2 of our How We Work series. Ryan Snodgrass on going from 50 agents to fewer, more focused ones — and why that's actually a sign of progress.
Part 1 of our How We Work series. CTO Ryan Snodgrass talks about the tools and workflows that have been the biggest unlocks in agentic engineering — from Beads for task tracking to creating expert agents by combining multiple AI models.
A new category of CLI user has emerged: coding agents operating in loops, generating plausible commands without reading documentation, and exploring interfaces as black boxes. How friction data from agent interactions is reshaping CLI design — and why the teams that instrument this feedback loop will build tools that improve themselves.