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Prabha Kylasamiyer Sundara Rajan
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docs/topics/developer-lightspeed/con_intro-to-developer-lightspeed.adoc

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Starting from 8.0.0, you can use {ProductFullName} Developer Lightspeed for application modernization in your organization by running Artificial Intelligence-driven static code analysis for Java applications. Developer Lightspeed gains context for an analysis from historical changes to source code through previous analysis (called solved examples) and the description of issues available in both default and custom rule sets. Thus, when you deploy Developer Lightspeed for analyzing your entire application portfolio, it enables you to be consistent with the common fixes you need to make in the source code of any Java application. It also enables you to control the analysis through manual reviews of the suggested AI fixes by accepting or rejecting the changes while reducing the overall time and effort required to prepare your application for migration.
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[id="how-developerlightspped-works_{context}"]
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== How does Developer Lightspeed work
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The main components of Developer Lightspeed are the large language model (LLM), a Visual Studio Code (VS Code) extension, and the solution server.
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You can consider using the demo mode for running Developer Lightspeed when you need to perform analysis but have a limited network connection for Developer Lightspeed to sync with the LLM. The demo mode stores the input data as a hash and past LLM calls in a cache. The cache is stored in a chosen location in the your file system for later use. The hash of the inputs is used to determine which LLM call must be used in the demo mode. After you enable the demo mode and configure the path to your cached LLM calls in the Developer Lightspeed settings, you can rerun an analysis for the same set of files using the responses to a previous LLM call.
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[id="benefits-using-developer-lightspeed_{context}"]
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== Benefits of using Developer Lightspeed
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* *Model agnostic* - Developer Lightspeed follows a "Bring Your Own Model" approach, allowing your organization to use a preferred LLM.

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