Giselle enables teams to create advanced AI Agents through an intuitive node-based interface that integrates multiple LLMs and data sources. These Agents work like team members, tackling tasks like market research and pull request reviews. Automate documentation workflows and accelerate product development with AI-powered collaboration.
Giselle revolutionizes product development with adaptive workflows that learn and evolve. From startups to enterprises, it scales your development beyond team size constraints.
Why choose Giselle? Its intuitive node-based interface makes AI workflow creation accessible to everyone, allowing teams to design, test, and deploy custom AI Agents in minutes without complex setups. Additionally, Giselle is actively developing features to enhance GitHub, including automated code analysis and review to transform AI-generated code into production-ready commits.
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Based on our record, GitHub seems to be a lot more popular than Giselles.ai. While we know about 2320 links to GitHub, we've tracked only 2 mentions of Giselles.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The giselles-ai/giselle repository recently published as OSS is for Giselle, a platform that enables no-code creation of agents and workflows utilizing generative AI. Detailed information can be found on the Giselle service website: https://giselles.ai/. - Source: dev.to / 10 months ago
๐ก Giselle is a SaaS platform that enables no-code creation of agents and workflows leveraging generative AI. Visit the service site at https://giselles.ai/ for more details. The OSS repository is also available at giselles-ai/giselle. - Source: dev.to / 10 months ago
Sign up at: https://github.com You'll need this for hosting your code and CI/CD pipeline. - Source: dev.to / about 8 hours ago
> AFAIK - the only reason FDB isn't massively popular is because no one has bothered to write good layers on top. I do know of a few folks writing a SQS, DynamoDB and SQLite layers. I started writing this comment: > It seems interesting, but considering what it's for, why aren't the hyperscalers using it? And while writing it I started searching for FoundationDB and found this: >... - Source: Hacker News / 3 days ago
Engaging with open-source projects on platforms like GitHub allows you to work on real-world problems alongside experienced developers. Itโs a great way to learn while contributing to the community. Plus, you can showcase these contributions in your portfolio! - Source: dev.to / 6 days ago
Import requests Import time From datetime import datetime Def check_website(url, timeout=5): """Check if a website is accessible""" try: start_time = time.time() response = requests.get(url, timeout=timeout, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' }) response_time = round((time.time() - start_time) * 1000, 2) ... - Source: dev.to / 11 days ago
7 If hosted in GitHub, check how many issues there are and how frequently issues are being resolved. - Source: dev.to / 15 days ago
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