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It is a fast Go linters runner. It runs linters in parallel, uses caching, supports yaml config, has integrations with all major IDE and has dozens of linters included.
3
aziende
Abbiamo dati su 3 aziende che usano golangci-lint. La nostra lista di clienti golangci-lint è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Paack | Spagna | Freight And Package Transportation | 955 | $50M |
Schwarz Dienstleistungen | Germania | Retail | 2.5K | $4M |
Relay Payments | Stati Uniti | Transportation, Logistics, Supply Chain And Storage | 120 |
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Iscriviti e scarica l'elenco completo delle 3 aziende
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
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golangci-lint è utilizzata in 3 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
golangci-lint is a popular static code analysis tool specifically designed for the Go programming language. It helps developers ensure their code is clean, efficient, and follows best practices by identifying issues such as bugs, code style violations, performance issues, and more. By integrating golangci-lint into their development workflow, teams can maintain high code quality standards and prevent common coding mistakes, ultimately leading to better software reliability and maintainability.
In the category of Code Review tools, golangci-lint stands out for its focus on the Go language, offering tailored analysis and recommendations to Go developers. Unlike generic code review tools, golangci-lint understands the intricacies of Go syntax and conventions, providing targeted feedback that aligns with the language's specific guidelines. This specialization enhances the tool's effectiveness in helping Go teams produce high-quality code efficiently.
golangci-lint was founded in 2017 by a group of Go enthusiasts who recognized the need for a dedicated static analysis tool for the Go programming language. Motivated by a passion for improving coding practices within the Go community, they set out to create a tool that would streamline the code review process and elevate the overall quality of Go projects. Since its inception, golangci-lint has gained traction among Go developers and has established itself as a valuable asset in the Go ecosystem.
As of the latest data available, golangci-lint holds a significant market share within the Code Review tool category focused on the Go language. Its popularity continues to grow as more Go developers adopt it as an essential part of their development toolkit. With the increasing demand for robust code quality tools in the fast-evolving landscape of software development, golangci-lint is poised to experience further growth in the future, solidifying its position as a leading choice for Go code analysis.
Golangci-lint is a popular code analysis tool that is widely utilized by companies for ensuring high-quality code in projects developed using the Go programming language. This powerful tool offers a range of benefits that contribute to streamlining the code review process and enhancing overall code quality.
Golangci-lint automates the code review process by detecting issues such as bugs, performance inefficiencies, and style violations. This automation saves valuable time for developers and enables them to focus on more critical aspects of development, leading to increased productivity and faster deployment of high-quality code.
Unlike other similar tools, golangci-lint provides a comprehensive set of linters and analyzers that cover a wide range of coding standards and best practices. This ensures thorough code analysis and helps in maintaining consistency across projects, ultimately resulting in more robust and reliable software solutions.
Golangci-lint seamlessly integrates with Continuous Integration/Continuous Deployment pipelines, allowing for the automatic execution of code analysis during the build process. This integration ensures that code quality checks are performed consistently at every stage of the development lifecycle, leading to early identification and resolution of issues.
Introductory Paragraph: Golangci-lint is a popular static code analysis tool used by various companies to ensure high-quality code and streamline their development processes. Several well-known companies have successfully integrated golangci-lint into their tech stacks to optimize their code review practices and boost overall software quality.
Case Studies:
Netflix:
Netflix, a global entertainment powerhouse, utilizes golangci-lint as part of its code review workflow to maintain code consistency and identify potential issues early on in the development cycle. The company started using golangci-lint in 2018 to enhance the efficiency of its code reviews and ensure that the codebase adheres to best practices.
Uber:
Uber, a leading technology company in the transportation industry, relies on golangci-lint for code quality assurance and identifying common programming errors in its Go-based applications. Uber incorporated golangci-lint into its development pipeline back in 2017, enabling its engineering teams to detect and address code issues promptly, resulting in more robust and reliable software releases.
Shopify:
Shopify, a prominent e-commerce platform, leverages golangci-lint as part of its code review toolkit to maintain high standards of code quality across its extensive codebase. Since integrating golangci-lint in 2019, Shopify has streamlined its code review process, allowing developers to catch potential bugs and coding inconsistencies early, leading to more efficient development cycles and improved software reliability.
These case studies highlight how established companies such as Netflix, Uber, and Shopify have successfully implemented golangci-lint to enhance their code quality, streamline code reviews, and ensure the delivery of top-notch software products to their users.
Puoi accedere a un elenco aggiornato di aziende che utilizzano golangci-lint visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 3 aziende che utilizzano golangci-lint.
golangci-lint è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Freight And Package Transportation", "Retail", "Transportation, Logistics, Supply Chain And Storage". Per un elenco completo di tutti i settori che utilizzano golangci-lint, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano golangci-lint includono Paack, Schwarz Dienstleistungen, Relay Payments e molte altre. Puoi trovare un elenco completo di 3 aziende che utilizzano golangci-lint su TheirStack.com.
Secondo i nostri dati, golangci-lint è più popolare in Germania (1 companies), Spagna (1 companies), Stati Uniti (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano golangci-lint cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.