Jellyfish reports on your engineering org. LinearB improves it.
Trusted by the teams transforming software delivery
Your teams are shipping more code with AI. Delivery needs to change.
AI coding tools generate code faster than your review process can handle. Every PR an AI assistant writes needs a human to review, approve, and merge it at the same pace they always have. The bottleneck has shifted downstream. Jellyfish tracks how fast AI is producing code. LinearB automates the bottleneck it creates. gitStream routes PRs, enforces review policies, and triggers test enforcement automatically. Expedia reinvests 2,000 developer hours monthly through 200,000+ PR automations. Yum! Brands automates 321 developer hours per month.
Jellyfish shows you the problem. You still have to fix it manually.
Every Jellyfish insight ends with a dashboard. There is no workflow automation, no policy-as-code engine, no gitStream equivalent. When your cycle time spikes, Jellyfish generates a report. LinearB routes the PR, enforces the review policy, and closes the bottleneck automatically. This is not a product roadmap gap. Jellyfish has existed for years without building an automation engine. It is a deliberate product choice: they are simply a reporting tool.
Jellyfish measures what AI review agents found. LinearB reviews the code they wrote.
Jellyfish tracks third-party code review agents such as CodeRabbit, GitHub Copilot-Reviewer, Graphite. It reports on what they flagged. It cannot catch what they missed, and it has no mechanism to enforce quality standards independently of the AI that wrote the code. LinearB's AI code review runs as a separate layer. It catches security risks, bugs, performance issues, and spec mismatches before merge regardless of what AI tool generated the code.
A platform your engineering managers ignore is half a platform.
Jellyfish is built for your CFO. Adoption drops sharply at the engineering manager and developer level. Jellyfish's own customers report in independent evaluations. LinearB delivers cycle time visibility, bottleneck detection, and workload balancing at the team level. Developers get gitStream automations that remove friction from their daily work. Platform and DevEx leads get survey data and MCP-driven insights.
Don't take our word for it.
Setting the record straight
Developer Surveys
LinearB has a dedicated Developer Surveys product. Survey developers to capture qualitative feedback, compare perceived productivity to delivery data, and justify DevEx investments to executive leadership.
Developer Experience
LinearB has a full Developer Experience platform pillar — described as "the control plane for developer experience teams." Includes DevEx dashboard, survey integration, AI adoption tracking, and developer health metrics.
Security
LinearB never accesses, stores, or scans source code. The platform reads Git metadata only. LinearB's security page navigation reads verbatim: "Enterprise-grade compliance and zero code access." The security FAQ answers this three separate times.
MCP Server
LinearB's MCP Server connects to Claude, ChatGPT, and other AI clients. Ask natural language questions about your delivery data, get recommendations, and build custom reports without touching a dashboard.
Compliance
LinearB displays both SOC 1 Type II and SOC 2 Type II compliance badges on its security page, side by side, with the statement: "LinearB is proud to be externally verified as compliant to the following standards."
Stop buying dashboards. Start helping your developers do more.
LinearB
Jellyfish
Teams that chose LinearB over Jellyfish
Frequently asked questions
Leading enterprises use LinearB to boost their developer experience with visibility and control over AI, data and workflows. See our full customer list here.
Jellyfish has a more polished cost cap product today — we say this honestly. If financial allocation views are your primary buying criterion, evaluate both carefully. If you also need workflow automation, independent AI code review, and developer-level utility, the comparison shifts significantly.
LinearB provides predictive delivery timelines through the APEX Predictability pillar and MCP-powered scenario planning. Jellyfish's forecasting is genuinely strong. For teams where forecasting is the primary criterion, run both demos. If you also need automation and AI code governance, the full APEX framework covers all four dimensions.
While it reads your Git metadata to generate metrics and workflow insights, your code content is never indexed, transferred, or saved in their database. Any source code temporarily accessed to process metrics is deleted immediately after the initial scan.
LinearB has a dedicated Developer Surveys product. This claim appears on Jellyfish's own comparison page and is factually incorrect. You can run a live demo of the DevEx survey dashboard in your 20-minute call.
Most teams see gitStream automation running within their first week. The implementation team maps your existing metrics setup and gets you to full value in days. Unlike platforms that require Jira data hygiene before metrics are reliable, LinearB configures to your existing process.
The implementation team maps your existing setup and gets you to full value in days. Ask us about some of customers who did a smooth rip-and-replace from Jellyfish.