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What Happens to Software Engineering When Generating Code Is Free? (Part 1)
Many of the issues of conflicts are basically dealt with us hammering them out in our daily standups. We see these as 'merge walls'. Both Ryan and I have been principal engineers in Amazon in our past lives: every day with Claude feels like dropping into a design meeting on a team with 100 engineers. So, we just accept that we have to spend a lot of time whiteboarding and talking as we align our mental models at a daily cadence.
Really good point on the RIGHT context at the RIGHT time. With the first release, we have focused on the plumbing to collect all the sessions and the transcripts. As we get more data, we are going to step up into the next level of analysis where we collate all the data into the right insight at the right time.
Our bet is simple: - In the future, new projects won’t just start with git init. - They’ll start with git init and ox init.
Code gives you versioned artifacts.You’ll also need versioned context.
SageOx is our attempt to make shared, inspectable team memory a first-class primitive — something agents automatically consult before they act.
Happy to go deep on architecture, tradeoffs, or why this might be wrong.
Show HN: SageOx – The Hivemind for Agentic Engineering
https://sageox.ai/blog/introducing-sageox
We built SageOx to solve the alignment problem we kept hitting while working with coding agents.Claude can generate code quickly — but they don’t share team memory.Each session starts from scratch. Architectural decisions made yesterday aren’t visible today. A technical debate disappears unless someone manually documents it.Speed increases, but drift leads to architectural entropy and...