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Experience a dynamic, interactive chat experience with our new #AmazonQ Developer CLI agent! You can ask Q Developer to write code, automatically debug issues, & more & Q Developer will iteratively make updates based on your feedback. Learn more. 👉

12,559 Aufrufe • vor 1 Jahr •via X (Twitter)

4 Kommentare

Profilbild von Surendra Singh Ranawat
Surendra Singh Ranawatvor 1 Jahr

Will the AmazonQ Developer CLI agent take over the Python Developer role completely in the near future? #python

Profilbild von Brooke Jamieson
Brooke Jamiesonvor 1 Jahr

Honestly had so much fun working on demos for this launch - definitely go try it out!

Profilbild von Sahil Sharma
Sahil Sharmavor 1 Jahr

Was trying it out, it is good & fast.

Profilbild von Bibabrey 🦅
Bibabrey 🦅vor 1 Jahr

Honestly had so much fun trying this out. The experience is quite amazing despite its likeness to tools like Claude,Qodo and even Gemini.

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🚀New Amazon Q Developer agent for software development is available to customers: This agent is based on a new agent architecture that has exciting results coming from the SWE-bench scores (on the full and verified benchmarks) representing AI models’ ability to resolve real-world coding problems. Interesting aspect of Q Agent is that with these newest updates, Q drove nearly 50% more successful coding tasks completed. What makes Q Dev Agent remarkable? The agent architecture is not just about using the best LLMs (which we do), but also giving the agent the ability to constantly explore multiple paths to find the best way to resolve a particular problem (and back tracking when it has reached dead end like a developer would do). Needless to say, we are just getting started on the developer agent and we are constantly pushing to advance our AI capabilities while maintaining quality, security, privacy, and reliability to keep Amazon Q Developer an innovative and trusted option available to our customers using agents for software development. We highlighted the results of our first SWE-bench submission of Amazon Q Developer back in June blog post; with these updates, our new agent resolves 51% more coding tasks than its previous iteration on the SWE-bench verified dataset, and 43% more on the full dataset. That’s the difference a few months make, and I can’t wait to share what our teams will deliver at re:Invent this December. Here's a quick demo showcasing our new Agent in action:

Swami Sivasubramanian

28,946 Aufrufe • vor 1 Jahr