Blue Ghost offers Cate, an AI‑driven development assistant that integrates directly with existing issue trackers like Jira, Linear, and GitHub. It lets architects, developers, and reviewers collaborate with agents that maintain code standards, generate specs, and post decisions as tracker artifacts, all within a secure Docker sandbox without moving code to the cloud. This streamlines workflow, improves institutional memory, and enables incremental, shippable releases.
Funding
Funding not disclosed
Founders
Product
Problem
Software teams often struggle to keep design decisions, specifications, and code reviews synchronized across disparate tools, leading to lost context, duplicated effort, and difficulty tracking cost and performance metrics.
Solution
Cate is an AI‑driven software agent that embeds directly into Jira, Linear, GitHub, and GitLab via OAuth or personal access tokens. It participates in collaborative sessions with architects, developers, and reviewers, automatically recording decisions, specifications, and standards as native tracker artifacts. Each session runs inside a built‑in Docker sandbox, ensuring that no client code leaves the organization’s environment. OpenTelemetry integration ties cost and performance data to the associated issue, providing transparent reporting within existing workflows. By scoping work into incremental, shippable pull requests, Cate helps teams deliver small, frequent releases while preserving institutional memory.
Target Audience
Primary customers are software development teams—including architects, engineers, and code reviewers—who use Jira, Linear, GitHub, or GitLab for issue tracking and release management.
Features
- Native integration with Jira, Linear, GitHub, and GitLab, eliminating the need for separate communication channels
- AI‑assisted collaborative sessions that capture specs, decisions, and reviews as tracker artifacts in real time
- Built‑in Docker sandboxing that keeps all code execution on‑premise, with no client code sent to the cloud
- Automatic linking of cost and performance metrics to issues via OpenTelemetry for organization‑wide reporting
- Session output includes plans, diagrams, and context that become permanent repository artifacts
- Incremental work slicing that produces clean, shippable pull requests for each agent session