Best Software Engineering Intelligence Platforms for Shortcut

Find and compare the best Software Engineering Intelligence platforms for Shortcut in 2025

Use the comparison tool below to compare the top Software Engineering Intelligence platforms for Shortcut on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    GitLab Reviews
    Top Pick

    GitLab

    GitLab

    $29 per user per month
    14 Ratings
    GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.
  • 2
    LinearB Reviews

    LinearB

    LinearB

    $15 per dev per month
    1 Rating
    We combine and reconstruct Git, release and project data to provide real-time project insight and team metrics. This is done with no manual updates or interruptions to developers. LinearB's Software Delivery Intelligence platform analyzes hundreds if not thousands of signals from your Git or project systems every minute to highlight areas where you can make the most impact on your team. Software Delivery Intelligence is a tool that helps developers accelerate their delivery. It correlates development pipeline data (code, git, projects and CI/CD) to provide visibility, context, and workflow automation for each member of the team.
  • 3
    Faros AI Reviews
    Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.
  • 4
    Hatica Reviews

    Hatica

    Hatica

    $15/month/user
    Hatica provides actionable analytics and workflows that empower engineering teams to be their best. Combine git, project and collaboration data to gain insights into dev workflows that will help your engineering teams do their best work. Track Pull requests metrics from open through deployment, along with code-review metrics, to identify bottlenecks or opportunities for improvement. Metrics such as deployment frequency, MTTR and change failure rate can be used to measure DevOps performance. A centralized dashboard that displays aggregated activity and metrics from git, project management and CI/CD tools, which act as a proxy for progress and performance, allows you to view the data. You can gain insight into the allocation of effort by engineering teams to align them with business goals. Hatica consolidates all work activity and progress in a central dashboard, giving visibility into where your teams are working and what they are facing.
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