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Incredibuild Launches Groundbreaking AI Platform

Incredibuild, recognized as a leading entity in build acceleration, recently unveiled an innovative AI platform crafted specifically for the modern needs of software development. This state-of-the-art platform aims to revolutionize the software development lifecycle (SDLC) by eliminating common bottlenecks experienced during various stages, including code commits and deployment processes.

The urgent need for such a solution arises from the increasingly complex demands placed on developers in today's AI-driven landscape. As AI continues to shape software creation, developers find themselves investing more time in scrutinizing and debugging AI-generated code, rather than focusing on actual coding. The limitations of traditional tools—including pull request (PR) reviews, continuous integration/continuous deployment (CI/CD) systems, and other build processes—are becoming apparent, leading to inefficiencies and slower delivery cycles.

In response, Incredibuild's new platform leverages advanced technologies such as deep process instrumentation and real-time observability. These features collectively enable swift optimization and enhanced AI capabilities throughout the entire development cycle. Among the key features introduced with this platform are:

• - Live SDLC Telemetry: This offers a unified view of pipeline performance, ensuring that developers have the necessary insights to streamline their workflows.

• - Code Change Intelligence: This feature helps identify potential impacts and risks associated with code changes prior to deployment, enabling teams to make informed decisions.

• - Test Acceleration: Incredibuild's platform optimizes test runs, allowing for quicker feedback and reducing the time it takes to uncover issues.

• - Powerful Caching and Distributed Computing: Accelerating resource-intensive workloads, this feature enhances performance across development environments, whether in the cloud, hybrid setups, or on-premises.

According to Shimon Hason, the CEO of Incredibuild, the company's mission has always been to address the inherent frustrations of slow builds and lengthy development pipelines. The introduction of this platform marks a significant evolution in their approach, particularly in light of the transformative effects AI has had on software practices. Hason emphasizes that their customers deserve solutions that not only remove barriers but also enhance AI’s integration into development workflows.

Beyond just speeding up processes, Incredibuild's platform offers essential real-time build intelligence. Drawing from a unique dataset compiled from numerous production pipelines, Incredibuild can transform build telemetry into actionable insights. This data enables AI agents and Large Language Models (LLMs) to operate with a better understanding of real-world enterprise software environments. Consequently, the platform supports critical advancements such as build-aware code generation, intelligent test selection, and guidance systems aimed at enhancing the efficacy of AI in complex development settings.

The development of this cutting-edge platform is backed by more than 20 years of extensive experience in varying fields, including gaming, finance, and automotive engineering. In just the last year, over 220,000 developers have leveraged Incredibuild’s technology to optimize 94 million builds, a testament to the platform's capabilities. Trusted by industry giants like Microsoft, Amazon, and Adobe, Incredibuild continues to be an integral part of driving innovation in AI-enabled engineering.

About Incredibuild

Incredibuild functions as an SDLC acceleration platform focused on enhancing workloads critical to performance. By automating the caching and distribution of computing resources, as well as scaling testing and building processes, Incredibuild effectively utilizes AI to streamline high-velocity software development. With a prominent client roster that includes major companies in various sectors, Incredibuild is ideally positioned to assist teams in meeting the challenges posed by AI-driven product development.