Grounded engineering answers
Fuses vector, keyword, graph, symbol, ownership, recency, and runtime signals into inspectable answers with source citations.
Engineering intelligence + governed execution
CodeSweaver connects Jira, GitHub or GitLab, Confluence, code ownership, recent changes, and incident context into a tenant-scoped engineering intelligence layer. Teams and their agents get grounded answers with citations, while policy gates, validation, audit trails, and human review govern execution.
Fuses vector, keyword, graph, symbol, ownership, recency, and runtime signals into inspectable answers with source citations.
Exposes the same tenant-scoped engineering context through the product interface and authenticated MCP clients.
Retrieves relevant code and documentation, scopes the change, runs a coding agent, validates the result, and opens a reviewable draft.
Generates web interfaces from selected Figma designs, follows repository conventions, validates the build, and delivers the result through a draft PR or MR.
Triages Jira work, applies team policies, builds executable plans, and keeps human reviewers in control of delivery.
Finds and ranks technical debt, batches safe quick wins into a reviewable change, and routes higher-risk findings to people.
Connects runtime alerts with code context, proposes a grounded fix when confidence is sufficient, or produces a runbook for human follow-up.
Applies policy gates, secret scanning, build and test validation, confidence routing, review queues, citations, and audit trails.
CodeSweaver connects with Jira, GitHub, GitLab, Confluence, Figma, authenticated MCP clients, Slack, Microsoft Teams, Webex, PagerDuty, and Opsgenie. Teams can use managed model capacity or their own supported model credentials, with self-hosted deployment available when source code must remain inside their cloud.
Repository work runs in an isolated workspace. Changes remain drafts for review, and access can be revoked by the customer.