Integration Details

Full transparency into everything we're building for you.

We track all Hedgineer projects, issues, and roadmaps in Linear—and share this workspace directly with our clients. You get real-time visibility into every feature we're developing, every issue we're resolving, and every milestone we're targeting. No black boxes, no waiting for status meetings.

Our Linear integration goes beyond simple project tracking. We've built custom AI-powered integrations that let you interact with your project status naturally:

Real-Time Project Transparency:

• Dedicated Linear workspace shared with your team for complete visibility
• Live issue tracking with customizable workflows: Triage → Backlog → In Progress → Complete
• Projects for tracking longer-term initiatives with milestones and progress updates
• Cycles (sprints) showing what we're delivering in the current 1-2 week iteration
• Roadmaps visualizing upcoming features and strategic priorities across quarters

AI-Powered Status Updates:

• Ask about project status directly in Slack using natural language: "What's the status of the portfolio analytics feature?" or "Show me what shipped this week"
• Custom dashboards pulling live Linear data to visualize velocity, burndown, and feature progress
• Automated notifications when issues are completed, projects reach milestones, or blockers arise
• Weekly AI-generated summaries of work completed, in progress, and upcoming

Seamless Integration Across Your Stack:

• Slack integration: Create Linear issues from Slack messages, bidirectional comment sync, unfurl Linear links with previews
• GitHub integration: Automatic issue updates when PRs are opened, merged, or deployed
• Webhooks & API: Custom automations that push Linear data into your internal tools or BI platforms
• Document collaboration: Feature specs, technical documentation, and project updates all within Linear's collaborative editor

What You'll See in Your Linear Workspace:

• All active development work organized by your data platform, integrations, analytics tools, and infrastructure
• Clear issue states with SLA tracking for bug fixes and feature requests you submit
• Project health indicators and milestone progress with async updates from our team
• Detailed cycle reports showing what we delivered each sprint with velocity metrics

You're never left wondering what we're working on or when features will ship. Linear becomes your single source of truth for everything Hedgineer is building, maintaining, and improving in your environment.

FAQs

1. How does the Linear workspace sharing work?

We create a dedicated Linear workspace for your engagement and invite your team members with the appropriate access level—typically viewer or member access depending on your preference. You can see all issues, projects, cycles, and roadmaps in real-time. We organize work by teams (data platform, integrations, analytics, infrastructure) so you can drill into specific areas. You'll receive notifications for major milestones, project updates, and any issues that require your input. You can comment on issues, create new issues yourself, and interact with our team directly within Linear. Everything stays synchronized—there's no delay or export/import process.

2. How do the AI integrations for Slack and dashboards work?

We build custom integrations using Linear's GraphQL API and webhooks to power conversational AI in Slack and live dashboards. In Slack, you can message a bot in your shared channel (or direct message) with questions like "What features shipped last week?" or "Show me all open issues related to Snowflake integration," and you'll get instant, AI-generated responses with links back to Linear for details. For dashboards, we stream Linear data into your BI tools (Tableau, Looker, custom web apps) showing real-time metrics: velocity trends, cycle completion rates, issue breakdowns by priority or component. These aren't static reports—they update live as we work. The AI layer makes it conversational and contextual, so non-technical stakeholders can understand project status without learning Linear's interface.

3. Can we create our own issues and requests in Linear?

Absolutely. Many clients create issues directly in Linear for feature requests, bug reports, or questions about their environment. We triage these quickly—typically within a few hours—and assign them to the appropriate team and cycle. You can also create issues from Slack using Linear's native integration; just use the "More actions" menu on any Slack message to turn it into a Linear issue. We encourage this approach because it keeps all product feedback and requests in one place with proper tracking, rather than scattered across email threads. You'll see when we assign the issue, add it to a cycle, link it to a project, and ultimately mark it complete with release notes.

4. What's the difference between Issues, Projects, and Cycles in our Linear workspace?

Issues are individual tasks—like "Add Bloomberg fundamentals to portfolio dashboard" or "Fix date formatting bug in performance report." They're the atomic units of work. Projects are larger initiatives spanning multiple issues and potentially multiple cycles, like "Q1 2025: Multi-currency support" or "Barra integration rollout." Projects have their own progress tracking, milestones, and updates. Cycles are our sprints (usually 1-2 weeks), grouping issues we commit to delivering in that timeframe. When you look at the current cycle, you see exactly what we're focused on right now. When you look at a project, you see the big picture and timeline. When you look at an issue, you see the granular details and comments. This three-tier structure gives you flexibility to zoom in or out based on what you care about at the moment.

5. How do you handle sensitive or confidential development work?

We organize Linear with privacy in mind. Sensitive work—like client-specific configurations, security patches, or proprietary algorithm development—can be restricted to internal-only issues that aren't visible in the shared workspace. For most clients, the majority of issues and projects are shared because transparency builds trust and reduces communication overhead. But we respect that some work shouldn't be visible (like security vulnerabilities before they're patched), and we handle those in separate private issues. We discuss this during onboarding to align on what should be shared versus kept internal. The AI integrations also respect these access controls—they won't surface information you're not allowed to see.