HILLS Lab
Context infrastructure for software teams using AI.
We connect repositories, tickets, incidents, docs, and team decisions into a context layer that is current, verifiable, and permission-aware.
Thesis
Models change. Context remains the work.
The team advantage is not which tool wins this quarter. It is whether the system around the model knows what is true, current, allowed, relevant, and source-backed.
The system must know
Focus
Reliable context before autonomy.
Context audits for existing engineering workflows
Repo, ticket, incident, and team memory
Permission-aware connectors for GitHub, Linear/Jira, Slack, Sentry, and docs
Evals that measure fewer wrong assumptions and safer code changes
References
Teams and products from previous work.
Selected references from software, product, and platform engineering work.
povio.com 
reneverse.io 
tilt.app Notes
Working notes from practice.
Short notes on failure modes, context rules, memory diffs, and evals for teams bringing AI into daily software work.