Uncover pipeline bottlenecks
Gain organization-wide visibility into fragmented build data, pinpointing CI/CD pipeline performance regressions and eliminate lengthy root-cause analysis
Trusted by millions
Natively embedded in 
Visual Studio since 2015
Turn fragmented data into pipeline knowledge
Reduce mean time to resolution
Instantly identify gaps, errors, and performance bottlenecks at a glance. Use the graphic UI to jump immediately to the corresponding output line and fix inefficiencies before they impact the team
Unified build dashboard
Consolidate all build data from from local machines, to remote CI agents, and platforms into a single visual view, eliminating siloed logs and speeding up diagnosis
Optimize CI Infrastructure & Cost
Take control of your CI/CD spending. Visualize your build duration trends, peak load times, and resource utilization (CPU/Memory) to make data-driven decision making
“We were able to directly visually audit the build process to look for bottlenecks whilst reducing execution time.”
Richard Trotter
GeoTeric
Detailed hit/miss analysis
Utilize the Build Cache Details view to generate a precise hit/ miss report for every task, to identify the specific reason a cache
miss occurred
Build analysis
Gain crucial insights into infrastructure health. Choose essential
KPIs to generate customizable graphs for CPU usage, memory
load, and more
Build replay
Instantly replay your entire build to accelerate root-cause analysis.
Easily share build monitors to enhance collaboration while shifting-
left troubleshooting
MCP server
Expose your build history directly to your AI agents, providing
the critical context they need to troubleshoot inefficiencies more
effectively
Flexible Display
Turn legacy text output into a color-coded,
intuitive graphic progress UI. Easily switch
between four display types: Progress, Output,
Projects, and Summary
Stop waiting for
compilation
Maximize throughput and cost overheads using shared caching, distributed processing,
and pipeline observability dashboards
Seamless
integration
Add the Incredibuild agent to your machines to connect them into the cache and distribution grid.
Execute your builds from with Incredibuild from Visual Studio, your existing CI tool, or directly from the command line.
BuildConsole.exe MySln.sln /rebuild / cfg="Debug|Win64"
Works with your
existing stack
Seamlessly integrate with any cloud provider,
CI and dev tools
Success stories
See how teams are transforming their development workflows
How Coreline Soft Accelerated Modernization of Its Medical AI Imaging Software
Riding the waves of innovation. From a small team a decade ago to over 400 developers utilizing Incredibuild’s Enterprise Edition today
MAK Technologies
Compliance
Incredibuild is committed to high compliance standards, holding ISO 9001 and ISO 27001 certifications. This dual accreditation highlights the company’s dedication to both quality management and information security. By adhering to these rigorous international standards, Incredibuild ensures reliable, high-quality services while systematically protecting sensitive data
FAQ
How does IncrediBuild handle fragmented build data?
It provides a Unified Build Telemetry solution that consolidates all build data from every source (local machines, remote CI agents, and platforms) into a single visual view. This eliminates siloed logs and speeds up diagnosis.
What kind of performance data can I analyze?
You can gain crucial insights by creating Custom System Graphs to visualize and track key infrastructure KPIs, such as CPU Usage, Memory Usage, and I/O. You also get detailed hit/miss reports for every task, identifying the specific reason for a cache miss.
How can I speed up troubleshooting and collaboration?
You can use Build Replay to instantly turn back time and watch a recording of your entire build process. You can also share the execution recording so other team members can replay it and analyze the results for faster root-cause analysis.
How does IncrediBuild help optimize CI/CD costs?
The platform helps you Optimize CI Infrastructure & Cost by visualizing your build duration trends, peak load times, and resource utilization. This enables data-driven decision making to take control of your CI/CD spending.
How can I integrate my AI coding agent with my build data?
The MCP Server exposes your build history directly to your AI agents, providing the critical context they need to troubleshoot inefficiencies more effectively. This context includes error/warning counts, build timing, and recent build status.
