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Facebook Infer is a static analysis tool - if you give Infer some Objective-C, Java, or C code, it produces a list of potential bugs. Anyone can use Infer to intercept critical bugs before they have shipped to people's phones, and help prevent crashes or poor performance.
1,284
aziende
Abbiamo dati su 1,284 aziende che usano Infer. La nostra lista di clienti Infer 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 |
---|---|---|---|---|
Draper City | Stati Uniti | Government Administration | 150 | $15M |
Beta Academy | Stati Uniti | Education | 80 | |
Sei | Stati Uniti | Financial Services | 4.7K | $2B |
Banjo Health | Stati Uniti | Software Development | 38 | $3M |
U.S. Army Corps of Engineers | Stati Uniti | Government Administration | 441K | $16B |
ABBVIE | Stati Uniti | Pharmaceutical Manufacturing | 51K | $58B |
![]() Thomson Reuters | Canada | Software Development | 34K | $6.6B |
Madison Area Technical College | Stati Uniti | Education | 2.4K | $4.8M |
Teladoc Health | Stati Uniti | Hospitals And Health Care | 5.4K | $2.5B |
UBS | Svizzera | Financial Services | 82K | $35B |
Hurricane City | Stati Uniti | Government Administration | 8 | $3.3M |
Microsoft | Stati Uniti | Software Development | 233K | $198B |
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Infer è utilizzata in 35 paesi
Ci sono 61 alternative a Infer
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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.
Infer is a robust technology utilized in the realm of Code Review, offering automated static code analysis tools to enhance the quality and security of software development. By leveraging sophisticated algorithms and machine learning capabilities, Infer allows developers to detect potential bugs, errors, and vulnerabilities in their codebase efficiently. This aids in accelerating the debugging process and ultimately leads to the production of more reliable and secure software products.
The category of Infer falls under Code Review tools, which are instrumental in scrutinizing codebases to ensure adherence to coding standards, identify possible bugs, and enhance overall code quality. In the context of software development, Code Review tools like Infer play a pivotal role in streamlining the development process and minimizing the occurrence of errors that could potentially impact the performance and security of the software.
Infer was founded in 2013 by a group of researchers from the University of Cambridge, led by Professor Margo Seltzer. The motivation behind the creation of Infer stemmed from the need to address the challenges associated with manual code reviews and the inherent limitations in detecting complex programming errors. Since its inception, Infer has garnered significant recognition in the software development community for its cutting-edge approach to static code analysis.
Currently, Infer holds a notable market share within the Code Review tools segment, owing to its advanced capabilities and proven track record in enhancing code quality. With the increasing emphasis on software security and reliability, the demand for tools like Infer is expected to grow significantly in the coming years. As organizations prioritize error-free code and efficient development processes, the market share of Infer is projected to exhibit a positive trajectory, indicating potential growth opportunities in the competitive landscape of Code Review technologies.
Infer is a powerful tool that companies use for Code Review, offering a range of benefits that set it apart from other similar technologies. One major advantage of using Infer is its ability to provide in-depth code analysis, catching even subtle bugs and potential issues early in the development process. Unlike some other tools that may only surface obvious errors, Infer's advanced algorithms can detect complex issues, leading to higher code quality and more robust applications.
Another key benefit of Infer is its seamless integration with various development environments and version control systems. This means that developers can easily incorporate Infer into their existing workflows without major disruptions, enabling smooth adoption and consistent code quality checks throughout the development cycle.
Moreover, Infer offers real-time feedback and suggestions, empowering developers to address issues promptly and efficiently. This proactive approach helps teams maintain code quality standards and prevent potential bugs from escalating into larger problems down the line.
Overall, Infer stands out in the Code Review category for its comprehensive analysis capabilities, seamless integration, and real-time feedback, making it a preferred choice for companies looking to enhance their code quality and streamline their development processes.
Infer is a popular technology tool used by various companies in the field of Code Review to enhance their development processes. Some notable companies leveraging Infer include Facebook, Uber, Airbnb, and Spotify.
Facebook: Facebook utilizes Infer for static code analysis, helping to detect bugs and potential issues in their vast codebase. The social media giant started using Infer in 2015, significantly improving the reliability and efficiency of their software development.
Uber: Uber employs Infer in their development pipeline for identifying and addressing critical issues in their code early in the process. Since adopting Infer in 2016, Uber has seen a reduction in production incidents related to software bugs.
Airbnb: Airbnb integrates Infer into their code review process to automatically identify common programming errors and potential bugs. By implementing Infer in 2017, Airbnb improved the overall code quality and accelerated their development cycles.
These case studies highlight how leading companies like Facebook, Uber, and Airbnb leverage Infer to streamline their development workflows and ensure the delivery of high-quality software products.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Infer 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 1,284 aziende che utilizzano Infer.
Infer è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Government Administration", "Education", "Financial Services", "Software Development", "Government Administration", "Pharmaceutical Manufacturing", "Software Development", "Education", "Hospitals And Health Care", "Financial Services". Per un elenco completo di tutti i settori che utilizzano Infer, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Infer includono Draper City, Beta Academy, Sei, Banjo Health, U.S. Army Corps of Engineers, ABBVIE, Thomson Reuters, Madison Area Technical College, Teladoc Health, UBS e molte altre. Puoi trovare un elenco completo di 1,284 aziende che utilizzano Infer su TheirStack.com.
Secondo i nostri dati, Infer è più popolare in Stati Uniti (492 companies), Regno Unito (106 companies), Brasile (88 companies), India (43 companies), Canada (40 companies), Francia (25 companies), Germania (24 companies), Australia (17 companies), Svizzera (15 companies), Paesi Bassi (12 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Infer 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.