SWE-Agent: BEST Opensource AI Software Engineer! Builds & Deploy Apps End-to-End!
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- Опубликовано: 3 апр 2024
- In this groundbreaking video, we delve deep into the revolutionary SWE-agent project, which harnesses the power of language models like GPT-4 to transform software engineering practices.
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[Link's Used]:
SWE-Agent Blogpost: swe-agent.com/
Github Repo: github.com/princeton-nlp/SWE-...
Devin Blogpost: www.cognition-labs.com/introd...
Discover how SWE-agent redefines the landscape of software development by seamlessly identifying and resolving bugs and issues within GitHub repositories. Learn about its remarkable success rate, with a staggering 12.29% of issues resolved on the full SWE-bench test set, setting a new industry benchmark. Explore the innovative LM-centric commands and specialized Agent-Computer Interface (ACI) driving this transformative project forward.
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Additional Tags and Keywords:
#SWEagent #SoftwareEngineering #AI #GPT4 #GitHub #LM #ACI #TechInnovation #CodeDevelopment #BugFixing #ArtificialIntelligence
Hashtags:
#SWEagent #softwareengineering #ai #gpt4 #github #LM #ACI #techinnovation #CodeDevelopment #BugFixing #artificialintelligence 
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Great video!
🎯 Key Takeaways for quick navigation:
00:00 *🤖 Vorstellung des SWE-Agenten, eines Open-Source-AI-Software-Ingenieurs, der Anwendungen von Anfang bis Ende erstellen und bereitstellen kann.*
00:14 *📈 Der SWE-Agent übertrifft viele Sprachmodelle wie Claude und GPT-4 bei der Lösung von Open-Source-Problemen auf GitHub.*
00:27 *🔑 Der SWE-Agent ist ein System, das große Sprachmodelle wie GPT-4 in Software-Ingenieurs-Agenten umwandelt, um Fehler in GitHub-Repositorys zu beheben.*
00:56 *🚀 Demo-Video zeigt die Fähigkeiten des SWE-Agenten bei der Lösung eines GitHub-Problems.*
02:19 *🔍 Der SWE-Agent analysiert den Quellcode und identifiziert ein Problem mit der Indizierung in einer Matrix-Operation.*
02:46 *🛠️ Der Agent generiert eine Codebearbeitung, um das Problem zu beheben und die erwartete Ausgabe zu erhalten.*
03:55 *🌟 Der SWE-Agent verspricht, Sprachmodelle effizienter bei der Lösung von GitHub-Problemen zu machen als Entwickler.*
05:09 *📊 Der SWE-Agent erreicht auf dem SWE-Benchmark 12,29% und übertrifft damit GPT-4, Claude und andere Modelle.*
06:20 *🧩 Schlüsselkomponenten sind ein LM-zentrierter Befehl und eine spezialisierte Agenten-Computer-Schnittstelle zur Interaktion mit Repositorys.*
07:25 *🔍 Schritt-für-Schritt-Demo, wie der SWE-Agent einen GitHub-Fehler reproduziert, analysiert und behebt.*
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Thanks for another good content. Definately world started to be different after Devin's release :)
Hello, How can we use with Ollama?
What Doug mean with that installing it or connecting it to an instance?
GitHub will have to deploy something like this on the platform.
Does not work on Windows currently
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All of this state of the art shit and still no installer, if you're trying to champion automation automate the main task that everyone is having problems with. 😂
Fr this like wtf they make it so complicated to even open and use for whT,
13.6% success fixing real-world issues, and that's supposed to be good?
i know right! that's like.. double the success rate of a person!