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Polar Signals Cloud is a continuous profiling solution that operates continuously without the need for instrumentation, aimed at enhancing performance, comprehending incidents, and reducing infrastructure expenses. By executing a single command and following an exceptionally straightforward onboarding guide, you can commence cost savings and performance optimization for your infrastructure almost instantly. The capability to analyze past incidents allows users to trace and address issues effectively. The profiling data generated offers unparalleled insights into the execution of processes over time, enabling you to confidently identify the most critical areas for optimization based on statistical analysis. Many companies find that 20-30% of their resources are squandered on inefficient code paths that could be readily improved. By utilizing a remarkable combination of technologies, Polar Signals Cloud provides a profiling toolkit that meets the demands of modern infrastructure and applications. Thanks to its zero-instrumentation approach, you can implement it right away and start benefiting from actionable observability data that drives better decision-making. With ongoing use, organizations can continually refine their performance strategies and maximize resource allocation.

We have incorporated Llama 3 into Meta AI, our intelligent assistant that enhances how individuals accomplish tasks, innovate, and engage with Meta AI. By utilizing Meta AI for coding and problem-solving, you can experience Llama 3's capabilities first-hand. Whether you are creating agents or other AI-driven applications, Llama 3, available in both 8B and 70B versions, will provide the necessary capabilities and flexibility to bring your ideas to fruition. With the launch of Llama 3, we have also revised our Responsible Use Guide (RUG) to offer extensive guidance on the ethical development of LLMs. Our system-focused strategy encompasses enhancements to our trust and safety mechanisms, including Llama Guard 2, which is designed to align with the newly introduced taxonomy from MLCommons, broadening its scope to cover a wider array of safety categories, alongside code shield and Cybersec Eval 2. Additionally, these advancements aim to ensure a safer and more responsible use of AI technologies in various applications.

Logto is a modern Auth0 replacement designed for SaaS and apps. It is a great choice for growing companies and individuals. Comprehensive Identity Solution Logto SDKs enable easy authentication. Supports multiple sign-in methods, including social and passwordless. Customize UI components to match brand. The infrastructure is ready-to-use, so there's no need to do any extra setup. Provides a ready-to-use management API It offers flexible connectors to customize and scale, and is customized for SAML, OAuth and OIDC protocols. Enterprise-ready, with role-based Access Control (RBAC), Organizations (multi-tenant applications), User Management, Audit Logs, Single Sign-On (SSO), Multi-factor Authentication (MFA), and Single Sign-On (SSO).

OSS-Fuzz provides ongoing fuzz testing for open source applications, a method renowned for identifying programming flaws. Such flaws, including buffer overflow vulnerabilities, can pose significant security risks. Through the implementation of guided in-process fuzzing on Chrome components, Google has discovered thousands of security weaknesses and stability issues, and now aims to extend this beneficial service to the open source community. The primary objective of OSS-Fuzz is to enhance the security and stability of frequently used open source software by integrating advanced fuzzing methodologies with a scalable and distributed framework. For projects that are ineligible for OSS-Fuzz, there are alternatives available, such as running personal instances of ClusterFuzz or ClusterFuzzLite. At present, OSS-Fuzz is compatible with languages including C/C++, Rust, Go, Python, and Java/JVM, with the possibility of supporting additional languages that are compatible with LLVM. Furthermore, OSS-Fuzz facilitates fuzzing for both x86_64 and i386 architecture builds, ensuring a broad range of applications can benefit from this innovative testing approach. With this initiative, we hope to build a safer software ecosystem for all users.

American fuzzy lop is a security-focused fuzzer that utilizes a unique form of compile-time instrumentation along with genetic algorithms to automatically generate effective test cases that can uncover new internal states within the targeted binary. This approach significantly enhances the functional coverage of the code being fuzzed. Additionally, the compact and synthesized test cases produced by the tool can serve as a valuable resource for initiating other, more demanding testing processes in the future. Unlike many other instrumented fuzzers, afl-fuzz is engineered for practicality, boasting a minimal performance overhead while employing a diverse array of effective fuzzing techniques and strategies for minimizing effort. It requires almost no setup and can effortlessly manage complicated, real-world scenarios, such as those found in common image parsing or file compression libraries. As an instrumentation-guided genetic fuzzer, it excels at generating complex file semantics applicable to a wide variety of challenging targets, making it a versatile choice for security testing. Its ability to adapt to different environments further enhances its appeal for developers seeking robust solutions.

Ffuf is a high-speed web fuzzer developed in Go that allows users to conduct scans on live hosts through various lessons and scenarios, which can be executed either locally via a Docker container or through an online hosted version. It offers virtual host discovery capabilities that operate independently of DNS records. To effectively utilize Ffuf, users need to provide a wordlist containing the inputs they want to test. You can specify one or multiple wordlists directly in the command line, and if you are using more than one, it's important to assign a custom keyword to manage them correctly. Ffuf processes the first entry of the initial wordlist against all entries in the subsequent wordlist, then moves on to the second entry of the first wordlist, repeating this process until all combinations have been tested. This method ensures thorough coverage of potential inputs, and there are numerous options available for further customizing the requests made during the fuzzing process. By leveraging these features, users can optimize their web vulnerability assessments effectively.

The Fuzzbuzz workflow closely resembles other continuous integration and continuous delivery (CI/CD) testing processes, but it stands out because it necessitates the concurrent execution of multiple jobs, adding several additional steps. As a dedicated fuzz testing platform, Fuzzbuzz simplifies the integration of fuzz tests into developers' code, enabling them to execute these tests within their CI/CD pipelines, which is essential for identifying critical bugs and security vulnerabilities before they reach production. Fuzzbuzz seamlessly blends into your existing environment, providing support from the terminal through to CI/CD. You can easily write a fuzz test using your preferred IDE, terminal, or build tools, and once you push your code changes to CI/CD, Fuzzbuzz will automatically initiate the fuzz testing process on the latest updates. You'll receive notifications about any bugs detected through various channels like Slack, GitHub, or email, ensuring you're always informed. Additionally, as new changes are introduced, regressions are automatically tested and compared against previous results, allowing for continuous monitoring of code stability. The moment a change is detected, Fuzzbuzz builds and instruments your code, ensuring that your development process remains efficient and responsive. This proactive approach helps maintain high-quality code and reduces the risk of deploying flawed software.

We are excited to unveil Codestral, our inaugural code generation model. This open-weight generative AI system is specifically crafted for tasks related to code generation, enabling developers to seamlessly write and engage with code via a unified instruction and completion API endpoint. As it becomes proficient in both programming languages and English, Codestral is poised to facilitate the creation of sophisticated AI applications tailored for software developers. With a training foundation that encompasses a wide array of over 80 programming languages—ranging from widely-used options like Python, Java, C, C++, JavaScript, and Bash to more niche languages such as Swift and Fortran—Codestral ensures a versatile support system for developers tackling various coding challenges and projects. Its extensive language capabilities empower developers to confidently navigate different coding environments, making Codestral an invaluable asset in the programming landscape.

Introducing MarsCode: an advanced AI development tool designed for immediate use. This innovative platform features an 'out-of-the-box cloud AI IDE' and a 'robust AI assistant,' making it an essential resource for developers seeking to enhance their learning and streamline their workflow. Among its standout features are: 1. A cloud-based AI IDE that frees developers from the limitations of specific devices and locations. 2. Integration options for local IDEs, which infuse traditional development practices with cutting-edge AI capabilities. 3. A suite of tools for code completion, bug fixing, and optimization, offering intelligent support throughout the entire coding journey. 4. An intelligent Q&A feature at the repository level, enabling developers to concentrate on their tasks with greater ease. 5. Versatile deployment support for various types of applications, including websites, AI plugins, and APIs, catering to a broad range of development needs. With MarsCode, developers not only gain access to powerful tools but also experience a newfound level of productivity and efficiency in their projects.

Kontra Hands-On Labs and e-Learning Courses provide a practical and scalable way to embed secure coding skills into development teams. The training combines 50+ short-form video lessons with over 300 interactive vulnerability labs that simulate real-world security failures. Developers don’t just hear about issues—they actively exploit vulnerabilities like Log4Shell and learn to fix them using code that matches their actual stacks. Covering 25+ technologies, each lab delivers a fast, focused experience with most exercises completed in under 10 minutes. This keeps developers engaged without disrupting their workflow. Completion rates are over 3x higher than traditional training models, helping AppSec leaders embed secure practices earlier in the SDLC. Training is role-based and aligned with major compliance frameworks including PCI-DSS, ISO 27001, and NIST. Optional ISC2 co-branded certifications are available, providing a path for developers to validate their secure coding competencies. Content is SCORM-compliant and can be delivered flexibly—either hosted or deployed directly into your own LMS. This ensures easy adoption whether you’re centralizing training or enabling business units to self-manage. L&D and AppSec leaders gain immediate visibility into training status with reporting on completions, coverage by framework, and readiness across teams. This supports both audit prep and internal program performance tracking. With developer-first content, flexible deployment, and measurable outcomes, Kontra + Courses helps security and engineering teams build software that’s secure by design—without slowing down delivery.

Dfns is the preferred wallets-as-a-service platform for top organizations aiming to enhance their digital asset operations and securely onboard users into the world of cryptocurrency. You can seamlessly integrate feature-rich web3 wallets into your existing infrastructure, allowing for rapid growth from concept to execution while enabling fintech capabilities in an instant. Import your organization's compliance models and business rules to ensure they align with regulatory standards effortlessly. Choose a deployment strategy that suits your specific regulatory needs, whether it be for exchanges, staking platforms, tax management services, KYT checks, and beyond. Dfns offers a comprehensive collection of pre-built integrations that empower developers to scale their projects efficiently from inception to maturity. By simplifying blockchain key management, we enable both developers and users to engage with digital assets with assurance and peace of mind. Furthermore, Dfns acts as a safety net, providing safeguards against potentially irreversible errors. Instead of spending time on manual transfers, you can automate your transaction workflows using APIs, allowing for quick broadcasting on-chain with pre-built payloads, making the entire process efficient and stress-free. With Dfns, you can focus on innovation rather than operational hassles.

Ensure your team remains secure and current with seamless automatic updates for dependencies, thorough license checks, and scanning for security vulnerabilities. We meticulously review library changelogs and release notes, scrutinize your codebase, and handle dependency updates, even addressing any breaking changes that may arise. Our robust tools cater to effective dependency management, accommodating teams of any size, from as small as two to as large as 200. With all your dependencies visible in a single location, there's no need for tedious searches through various repositories. Prevent legal complications by verifying that your dependencies are properly licensed. Additionally, receive timely alerts whenever a dependency poses a security risk. You can choose to update your code only if the changes impact your project. DepsHub simplifies the process of monitoring and updating dependencies, ultimately saving you valuable time. We proudly support a diverse array of programming languages and frameworks, allowing you to work with the ones you prefer while getting started in just a few minutes. Furthermore, you can integrate your preferred tools, create tickets, and stay informed about new issues, enhancing your overall workflow and productivity.

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Keep a vigilant watch over your software production environment with the cutting-edge SBOM360, the premier tool for managing software bill of materials throughout their entire life cycle. This innovative SBOM manager allows you to oversee thousands of SBOMs for every piece of software you create, procure, distribute, or utilize. Automatically verify that your software adheres to all necessary security policies and compliance requirements, streamlining your processes. In mere seconds, you can search through your software inventory and instantly identify your most vulnerable applications. Our state-of-the-art security profiler highlights these high-risk applications and components, providing automated assessments that are both quantified and prioritized. This enables you to clearly demonstrate the value of software maintenance investments and their influence on software quality and overall business performance. Furthermore, you can implement function-driven policy gates at each phase of the software development process, which are automatically cascaded across all of your teams and projects, ensuring that thorough scans and remediation efforts are conducted at scale. With SBOM360, your organization can enhance security and efficiency simultaneously.

Access immediate code evaluations from qualified engineers, augmented by AI technology. Each time you initiate a pull request, you can seamlessly integrate senior engineers into your workflow. Accelerate the delivery of superior, secure code with the support of AI-driven code assessments. Whether your development team comprises 5 or 5,000 members, PullRequest will elevate your code review system and tailor it to suit your requirements. Our expert reviewers assist in identifying security threats, uncovering concealed bugs, and addressing performance challenges prior to deployment. This entire process is integrated into your current tools for maximum efficiency. Our seasoned reviewers, bolstered by AI analysis, can target critical security vulnerabilities effectively. We employ advanced static analysis that incorporates both open-source resources and proprietary AI, providing reviewers with enhanced insights. Allow your senior personnel to focus on strategic initiatives while making substantial strides in resolving issues and refining code, even as other team members continue to develop. With this innovative approach, your team can maintain productivity while ensuring code quality.

Mistral Large stands as the premier language model from Mistral AI, engineered for sophisticated text generation and intricate multilingual reasoning tasks such as text comprehension, transformation, and programming code development. This model encompasses support for languages like English, French, Spanish, German, and Italian, which allows it to grasp grammar intricacies and cultural nuances effectively. With an impressive context window of 32,000 tokens, Mistral Large can retain and reference information from lengthy documents with accuracy. Its abilities in precise instruction adherence and native function-calling enhance the development of applications and the modernization of tech stacks. Available on Mistral's platform, Azure AI Studio, and Azure Machine Learning, it also offers the option for self-deployment, catering to sensitive use cases. Benchmarks reveal that Mistral Large performs exceptionally well, securing its position as the second-best model globally that is accessible via an API, just behind GPT-4, illustrating its competitive edge in the AI landscape. Such capabilities make it an invaluable tool for developers seeking to leverage advanced AI technology.

Qwen2 represents a collection of extensive language models crafted by the Qwen team at Alibaba Cloud. This series encompasses a variety of models, including base and instruction-tuned versions, with parameters varying from 0.5 billion to an impressive 72 billion, showcasing both dense configurations and a Mixture-of-Experts approach. The Qwen2 series aims to outperform many earlier open-weight models, including its predecessor Qwen1.5, while also striving to hold its own against proprietary models across numerous benchmarks in areas such as language comprehension, generation, multilingual functionality, programming, mathematics, and logical reasoning. Furthermore, this innovative series is poised to make a significant impact in the field of artificial intelligence, offering enhanced capabilities for a diverse range of applications.

PuppyGraph allows you to effortlessly query one or multiple data sources through a cohesive graph model. Traditional graph databases can be costly, require extensive setup time, and necessitate a specialized team to maintain. They often take hours to execute multi-hop queries and encounter difficulties when managing datasets larger than 100GB. Having a separate graph database can complicate your overall architecture due to fragile ETL processes, ultimately leading to increased total cost of ownership (TCO). With PuppyGraph, you can connect to any data source, regardless of its location, enabling cross-cloud and cross-region graph analytics without the need for intricate ETLs or data duplication. By directly linking to your data warehouses and lakes, PuppyGraph allows you to query your data as a graph without the burden of constructing and maintaining lengthy ETL pipelines typical of conventional graph database configurations. There's no longer a need to deal with delays in data access or unreliable ETL operations. Additionally, PuppyGraph resolves scalability challenges associated with graphs by decoupling computation from storage, allowing for more efficient data handling. This innovative approach not only enhances performance but also simplifies your data management strategy.

Timeplus is an efficient, user-friendly stream processing platform that is both powerful and affordable. It comes packaged as a single binary, making it easy to deploy in various environments. Designed for data teams across diverse sectors, it enables the quick and intuitive processing of both streaming and historical data. With a lightweight design that requires no external dependencies, Timeplus offers comprehensive analytic capabilities for streaming and historical data. Its cost is just a fraction—1/10—of what similar open-source frameworks charge. Users can transform real-time market and transaction data into actionable insights seamlessly. The platform supports both append-only and key-value streams, making it ideal for monitoring financial information. Additionally, Timeplus allows the creation of real-time feature pipelines effortlessly. It serves as a unified solution for managing all infrastructure logs, metrics, and traces, which are essential for maintaining observability. Timeplus also accommodates a broad array of data sources through its user-friendly web console UI, while providing options to push data via REST API or to create external streams without the need to copy data into the platform. Overall, Timeplus offers a versatile and comprehensive approach to data processing for organizations looking to enhance their operational efficiency.

Qodana’s static code analysis empowers development teams to adhere to established quality benchmarks, ensuring they produce code that is not only readable and maintainable but also secure. Developed by JetBrains, this tool has been refined through over two decades of experience in code analysis, enriched by input from millions of users across the community. By leveraging the insights derived from JetBrains IDEs, Qodana extends their intelligence into the continuous integration (CI) environment. Its analysis is precise yet unobtrusive, adeptly recognizing the intricacies of your codebase. The integration with commonly used tools, including JetBrains IDEs, facilitates seamless interaction with Qodana’s findings in the environment that developers prefer. Additionally, Qodana goes beyond merely identifying issues; it actively recommends automatic solutions to enhance code quality. To ensure budget-friendly usage, Qodana calculates licenses based on active contributors, avoiding unexpected costs associated with project growth, as it does not factor in lines of code. Furthermore, it is available at no cost for open-source initiatives, encouraging innovation and collaboration within the developer community. This commitment to fostering quality and accessibility makes Qodana a valuable asset for any coding team.

Activate the complimentary educational tools within your IDE to embark on a programming journey from the ground up, augment your existing capabilities, or design interactive courses to share with peers. Utilizing the JetBrains Academy plugin, you can both learn and instruct programming languages through coding exercises and personalized verification tests directly within JetBrains IDEs. With access to a vast library of over 100 courses covering the most sought-after programming languages and technologies, you can also develop real-world projects that enhance your developer portfolio. Moreover, you have the opportunity to create your own courses that blend theoretical concepts with practical application. Assess learners' understanding with diverse task sets, and offer additional guidance through constructive feedback and helpful hints. This free JetBrains Academy plugin supports multiple languages including Java, Kotlin, Python, Scala, JavaScript, Rust, C++, Go, and PHP, with plans to introduce even more languages in the future. Compatible with various JetBrains products like IntelliJ IDEA, PyCharm, WebStorm, Android Studio, CLion, GoLand, and PhpStorm, the plugin is designed to cater to a broad range of programming enthusiasts and educators alike. By leveraging these resources, you can significantly enhance your programming skills and share your knowledge effectively with others.

Eliminate delays, pinpoint inefficiencies, and troubleshoot problems effectively. Become a part of a swiftly growing network of global businesses that are realizing up to 20 times the value and return on investment by utilizing KloudMate, far exceeding other observability platforms. Effortlessly track essential metrics, relationships, and identify irregularities through alerts and tracking issues. Swiftly find critical 'break-points' in your application development process to address problems proactively. Examine service maps for each component within your application while revealing complex connections and dependencies. Monitor every request and operation to gain comprehensive insights into execution pathways and performance indicators. Regardless of whether you are operating in a multi-cloud, hybrid, or private environment, take advantage of consolidated Infrastructure monitoring features to assess metrics and extract valuable insights. Enhance your debugging accuracy and speed with a holistic view of your system, ensuring that you can detect and remedy issues more quickly. This approach allows your team to maintain high performance and reliability in your applications.

Aider is an AI pair programming assistant designed to work seamlessly from the terminal, enabling developers to collaborate with advanced language models while coding. It allows users to start fresh projects or enhance existing repositories with AI-generated improvements that respect the structure of their codebase. By mapping the entire project, Aider maintains strong contextual awareness, even across large and multi-file applications. The tool supports more than 100 programming languages, covering most modern and legacy development stacks. Aider integrates tightly with Git, automatically creating commits that are easy to review, track, or roll back. Developers can interact with Aider from within their IDE or editor by simply adding comments to their code. It also supports images, web pages, and reference documents to provide richer context during development. Voice-to-code functionality enables developers to request features or fixes verbally. Built-in linting and testing ensure code quality after every AI-driven change. Aider can also work with browser-based LLMs by streamlining copy-and-paste workflows when APIs are unavailable.

Set up a fully functional database and backend in just a few minutes, allowing you to concentrate on enhancing your application and serving your users. Bring forth impressive projects without the hassle of complicated DevOps processes. During development, you can operate the complete Nhost stack right from your terminal. Utilize Git for seamless pushing and deployment of changes with straightforward continuous integration and continuous deployment (CI/CD). Your project will be hosted on a robust infrastructure designed for optimal scalability and security. Nhost serves as an open-source backend and development platform, empowering developers to create and expand their web and mobile applications effectively. Enjoy hassle-free database hosting, equipped with all the necessary tools for success. Gain access to raw database logs for comprehensive insights into your database operations. All databases leverage high-performance SSDs to ensure rapid processing speeds. Additionally, expect daily backups to safeguard your data. Select from an extensive array of Postgres extensions, and effortlessly create tables, establish relationships, manage data, or execute custom SQL queries through an intuitive yet powerful user interface. With Nhost, you can streamline your development process and accelerate your app's journey from concept to reality.

Accelerate your application development with built-in features such as object and file storage, user authentication, push notifications, and dashboards. Parse is a versatile open-source backend that can be deployed on any infrastructure capable of running Node.js, and it seamlessly integrates with the Express web application framework. Whether you want to augment your existing web applications or use it independently, Parse serves as a powerful backend for end-user applications. It allows you to connect to an Oracle database, manage it effectively, and execute queries with ease. With Parse Server, developers can quickly establish an app backend without needing extensive experience or time investment. Its standout feature is its accessibility, making it suitable for developers at all levels of expertise. You can maintain the quality of your code and ensure your Parse Server operates efficiently, even as your cloud code evolves. Additionally, Parse Server offers a straightforward method for rapidly generating a GraphQL API, enhancing its appeal for modern application development. This combination of functionality and ease of use makes Parse Server an invaluable tool in any developer's toolkit.