Amazon Technologies, Inc.

Faizal S Kassamali

Brett Richard Taylor

Ameet Nirmal Vaswani

Ranganath Atreya

Ryan Crawford Tucker

Michael V Zampani

Justin Jon Derby

Richard Christopher Green

Andrew Kenneth Milton

Massimo Ramella-Pezza

Adib Roumani

Carlos Alejandro Arguelles

Kevin Lester Quadros

Nathnael Bekele

Systems and methods are provided for increasing the overall network performance experienced by a group of devices by forming a dynamic and collaborative cluster of computing devices. In particular, the computing devices within the cluster collectively may identify and leverage the current capabilities of each of the individual members of the cluster to respond efficiently to network resource requests from computing devices inside or outside the cluster. As such, various embodiments provide for a dynamic cluster of computing devices that tailor the responsibilities of the members of the cluster to the current capabilities, capacities, and state of these computing devices. In particular, devices in the cluster may participate dynamically in the cluster to ensure that a device in the cluster that is currently most suited to performing a task is the device selected to perform that task.

Cache based on dynamic device clustering

Technologies are disclosed herein for generating comments in a source code review tool using code analysis tools. A producer module can be executed in order to obtain source code from a source code review tool. One or more source code analysis modules can then be executed in order to analyze the source code. A reporter module can then store the output of the source code analysis modules as comments in the source code review tool for use by a developer of the source code. The producer, reporter, and source code analysis modules can be executed in response to a request from the source code developer to perform a source code review, by a job scheduler, or in another manner. An application programming interface (API) exposed by the source code review tool can be utilized to obtain the source code and to store the comments associated with the source code.

Generating source code review comments using code analysis tools

Features are disclosed for detecting meaningful updates to network accessible content, including but not limited to web pages. The portion or portions of content that are meaningful can be automatically determined based on a previously defined content profile, an analysis of user interactions with the content, algorithms and automated content analysis techniques, some combination thereof, or other techniques. Content can be monitored and determinations can be made regarding whether and to what extent the content has changed. Client devices or users thereof may be notified of detected meaningful content updates. Notifications can include updated portions of the content. The updated content may be displayed to the user on a client device, and visual treatments may be applied to the updated portions to draw the users' attention to the presence and substance of the updates.

Automated content update notification

Various features are disclosed for generating and presenting users with resource metadata regarding the usefulness or predicted usefulness of particular pages, sites, and/or other network resources. The metadata may be based partly or wholly on the monitored browsing behaviors of many users, including behaviors reflective of whether particular resources were useful to the users. The metadata may, in some cases, be personalized for particular users based, for example, on their browsing environments or contexts. For example, the metadata presented to a smartphone user regarding a particular link may reflect a determination of whether the target resource is well suited for display on smartphones generally or on the user's particular model of smartphone.

Browser-based provisioning of quality metadata

An embodiment of the disclosed system provides the user of a computing device with information concerning the expected usefulness of an item, such as a hyperlink, within a network resource, such as a search result webpage, with the expected usefulness information based at least in part on an attribute of the user's computing device. For example, the system may provide the user with information identifying a particular website as poorly suited for the user's device, based on data that the system collected identifying an aggregate bounce-back rate from computing devices with a similar attribute to the user's computing device.

Device attribute-customized metadata for browser users

A client identifies one or more test parameters and one or more expected results for the test parameter, adds the test parameters and the expected test results to a client request, and sends the client request to a test server. The client then receives a response from the test server, and determines whether the server response includes the expected test result. If not, the client indicates that a test has failed. If so, the client indicates that the test is successful.

Growing community of inventors

Kirkland, WA, United States of America

Faizal S Kassamali