Drafts technical planning output
Turn unclear work into a first pass plan the team can react to instead of starting from zero.
Structured planning output supported by saved runbooks and repeatable planning patterns in the logbook.
Answer code questions, open PRs, triage issues, and draft planning output — without giving AI full access to everything.
Development visibility
The Bridge keeps code questions, issue routing, and higher-risk write actions visible so engineering teams stay in control.
Development workflows remain inspectable through activity streams, trust signals, and approval-aware execution paths.
Help the team understand code, past decisions, and likely causes faster without digging through everything by hand.
Code-reading tools with repo context plus logbook retrieval for past technical decisions and notes.
Do the setup and draft work for engineering changes while keeping write actions behind review.
Branch start, commit, and PR-open flows with approval gates before higher-impact changes.
Summarize bug reports, suggest routing, and make ticket queues easier for the team to manage.
Issue-system integration with label, assignment, and structured triage output tied to a careful ticket-routing policy.
Coverage
Where this agent works
What this agent can access
Turn unclear work into a first pass plan the team can react to instead of starting from zero.
Structured planning output supported by saved runbooks and repeatable planning patterns in the logbook.
Check the repo state first so answers and drafts are based on current code instead of stale assumptions.
Repo sync and branch check flows to keep working context aligned with the latest source state.
Example prompts
These are the kinds of repo and engineering tasks a team can run once the assistant has repo access, saved runbooks, and approval-aware write actions.
Explain this part of the repo and point out the files I should read first.
Summarize this issue, suggest likely owners, and draft a clean triage note.
Prepare a small code change on a branch and stop before opening the PR.
Write a first-pass implementation plan for this ticket using the current repo state.
Compare these two approaches and list the main technical tradeoffs.
Escalate this change to a human reviewer with a short handoff and open questions.
Related pages
These pages explain how shared memory, approvals, and business-safe controls apply when AI helps with repo work and engineering operations.
See how write actions and higher-risk changes stay behind review gates.
Explore page
Understand how saved runbooks and shared context help agents answer from current team knowledge.
Explore page
Review the access, trust, and governance model behind business-safe AI workflows.
Explore page
Start the guided setup flow for your first development assistant.
Explore page
Dev FAQ