Source-backed context
Agents use current repositories, tickets, docs, incidents, and team decisions instead of stale summaries or chat folklore.
AI context infrastructure
Give AI agents the context they are allowed to use.
A focused HILLS Lab engagement for software teams adopting AI coding tools and agents without losing source control, permissions, and operational context.
Outcomes
Useful before agents, critical when they touch real workflows.
Permission-aware workflows
Private context stays scoped. Sensitive reads and write actions have explicit boundaries before the model reasons over them.
Practical evals
We measure fewer wrong assumptions, better PR quality, safer changes, and clearer traces across one real workflow.
Engagement
Small enough to test. Concrete enough to matter.
Discovery
Map the team, tools, risk boundaries, and the workflow where AI assistance should improve first.
Audit
Inspect where context breaks today: repos, tickets, docs, incidents, ownership, and deployment rules.
Pilot
Implement a small context layer around one repository, team, or agent workflow.
Decision
Leave you with measured findings, rollout priorities, and a clear continue/stop recommendation.
Proof point
PLAYGRND is the pattern in production.
PLAYGRND combines an SSR public web app, private Go API, Postgres/Redis, WhatsApp magic links, claim/correction loops, and derived season aggregates. AI helps the team move faster, but official records still need source-backed data, guarded writes, and human confirmation.
Trust
No broad access by default.
We start read-first, scope repository and tool access, avoid training on client data unless explicitly agreed, and keep approval boundaries for sensitive writes.