Lineardeveloper-tools

Linear Project Tracking for AI Dev Teams | SpeedMVPs

Linear is the project management tool purpose-built for modern engineering teams. It is fast, opinionated, and designed around cycles (sprints), issues, and projects, without the overhead of configuring every workflow from scratch that Jira imposes. SpeedMVPs uses Linear on AI MVP projects to manage delivery, give clients real-time visibility into sprint progress, and maintain a clean record of what has been built and what remains. For clients who continue development after the MVP handover, a well-organised Linear workspace is one of the most practical things we can hand over alongside the code. The transparency that Linear provides is particularly valuable during the SpeedMVPs 2-3 week delivery window at a fixed GBP 8,000 price: clients can see exactly which issues are in progress, which are done, and what remains without needing to request a status update. Every AI feature in the delivery cycle is broken into sub-tasks that include quality validation alongside code implementation, so the definition of done for an AI feature requires tested, evaluated output, not just written code. The GitHub integration links every pull request to its Linear issue automatically, creating an audit trail from task to code change to deployment. For founders who will hire their first in-house engineer after the MVP, the handover Linear workspace provides structured context about what was built and why each engineering decision was made, significantly reducing onboarding time. SpeedMVPs sets up and hands over the Linear workspace as a standard part of every delivery.

How SpeedMVPs Uses Linear on AI Projects

At the start of an AI MVP project, SpeedMVPs creates a Linear workspace (or uses the client's existing workspace) and sets up the project structure. Every task identified in the scoping session becomes a Linear issue with a description, acceptance criteria, and an initial estimate. Issues are grouped into two cycles: a two-week design and core development cycle, and a final integration, testing, and polish cycle. The client has read access (or full access if preferred) to the Linear workspace throughout the project, which provides complete transparency into what is in progress, what is done, and what is next. Status updates that previously required a call are visible directly in Linear. Sprint review meetings reference the Linear cycle view rather than a separate status deck.

Issue Structure for AI Features

AI features have specific sub-tasks that standard software tasks do not: prompt design and testing, LLM API integration, response parsing, evaluation against test cases, and quality review with sample outputs. SpeedMVPs structures Linear issues for AI features with these sub-tasks as children or checklist items, so the definition of done includes the quality validation step, not just the code implementation. A Linear issue for a RAG knowledge copilot feature would include sub-tasks for: document ingestion pipeline, embedding and vector storage, retrieval function, prompt construction, response formatting, evaluation against 20 test cases, and frontend integration. This granularity makes it clear when an AI feature is genuinely complete versus when the code is written but the quality has not been validated.

Git Integration and Automated Status Updates

Linear integrates directly with GitHub. When a developer creates a branch named with a Linear issue ID (such as feature/LIN-123-rag-pipeline), Linear links the branch to the issue. When a pull request is opened referencing the issue, Linear updates the issue status to In Review automatically. When the PR merges, the issue moves to Done. This automation keeps the Linear board accurate without requiring developers to manually update issue statuses, which is the main reason project boards fall out of sync on most teams. SpeedMVPs configures the GitHub-Linear integration at the start of the project so this automation is working from the first commit.

Client Visibility and Stakeholder Updates

One of the most common complaints founders have about working with development agencies is not knowing what is happening day-to-day. Linear solves this by making project state transparent by default. Clients can view the current cycle board, see which issues are in progress and which are done, read issue comments where technical discussions and decisions are recorded, and see the burndown of remaining work without needing to ask for a status update. SpeedMVPs provides a brief orientation on reading the Linear workspace at the start of the project, covering what the different statuses mean and how to interpret the cycle health. For clients with non-technical stakeholders who need a higher-level update, the cycle summary view provides a single-sentence status per issue that is readable without technical context.

Linear After Handover

A clean, well-organised Linear workspace is part of the SpeedMVPs handover package. At delivery, the completed cycle issues are marked Done, any remaining optional scope items are labelled as Backlog with priority ratings, and the project documentation links are added to the relevant Linear project description. If the client continues development in-house or with another agency, the Linear workspace provides the context for what has been built and what the engineering decisions were. For clients hiring their first in-house engineer after the MVP, having an organised Linear workspace with clear issue descriptions is a practical onboarding tool.

Linear Integrations with the AI Product Toolchain

Linear integrates with Slack (posting notifications to a project Slack channel when issues are updated), GitHub (branch and PR linking), Figma (linking design files to issues), and Sentry (linking error issues to code issues). SpeedMVPs configures the Slack and GitHub integrations as standard, so the client's Slack workspace receives Linear activity notifications and the GitHub repository's pull requests are linked to Linear issues automatically. The Sentry integration is configured when error tracking is included in the project, so production errors can be linked to the Linear issue that fixes them, providing a clear audit trail from error detection to resolution.

Frequently Asked Questions

Does the client get access to the Linear workspace during the project?+

Yes. SpeedMVPs provides the client with Member or Guest access to the Linear workspace at the start of the project. Member access allows the client to view all issues, comment, and add issues to the backlog. Guest access is read-only. Most clients prefer Member access so they can add questions or feedback directly to relevant issues without needing a separate communication channel.

Can we use our existing Jira workspace instead of Linear?+

SpeedMVPs can work within an existing Jira workspace if the client has a strong preference, but we recommend Linear for new projects because it is significantly faster for developers (keyboard-driven, low latency, minimal configuration overhead) and produces a cleaner project history. For larger enterprise clients with established Jira workflows and existing integrations, adapting to Jira is reasonable.

How does Linear handle bugs found during development versus post-launch bugs?+

Bugs found during development are created as issues in the current cycle with appropriate priority. Post-launch bugs are created in the project backlog with severity labels and triaged in the next cycle or as hotfixes for critical issues. SpeedMVPs configures the project labels and workflow statuses at setup to distinguish development bugs from production incidents, which makes the issue history easier to interpret when looking back at the project.

Is Linear suitable for projects with multiple workstreams?+

Yes. Linear's Projects feature allows organising issues across multiple workstreams (for example, a separate project for the AI backend and the mobile frontend) while keeping them visible in a single team view. Cycles can run across all projects simultaneously. SpeedMVPs uses this structure for larger AI MVP projects where distinct teams own different product areas.

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