Join us

ContentUpdates and recent posts about Flask..
Story
@viktoriiagolovtseva shared a post, 4 months ago

Vendor Payment Template for Jira

Vendor Payments Take Too Much Time And There Is a Way Out of the Vicious Cycle

Zrzut ekranu 2026-01-02 142203
Story
@laura_garcia shared a post, 4 months ago
Software Developer, RELIANOID

✨ Thank You, 2025 — What a Year for RELIANOID! ✨

As the year comes to a close, we want to take a moment to look back and saythank youto everyone who has been part of RELIANOID’s journey in 2025. This year has been all aboutgrowth, innovation, and community: 🚀Product & Technology - Continued evolution ofRELIANOID Enterprise Edition, delivering high..

carrusel1
Story
@laura_garcia shared a post, 4 months ago
Software Developer, RELIANOID

AI-driven cyberthreats are reshaping industrial security faster than many manufacturers expect.

As we approach 2026, attackers are already leveraging AI to automate reconnaissance, social engineering and intrusion workflows—often at machine speed. For manufacturing environments, where IT and OT increasingly converge, this creates a new risk landscape. In our latest article, we explore: - Why A..

Blog Manufacturing industry cyberthreats previsions 2026 RELIANOID
Story
@viktoriiagolovtseva shared a post, 4 months ago

Your Guide to Cloning in JIRA: How to Clone Issues in Different Ways

While cloning in Jira can be done in just a few clicks, it becomes less straightforward when you have special requirements. What if you need to clone an issue to a different project, clone tasks in bulk, or do this automatically on a schedule? In this article, we explore all these scenarios and provide you with examples and step-by-step instructions.

Zrzut ekranu 2025-12-30 142435
 Activity
@ilobe added a new tool Weights & Biases , 4 months ago.
Link Lightrun Team
@ek121268 shared a link, 4 months ago
VP of Product Marketing, http://checkmarx.com

Securing the Museum of Software in an AI Coding Tsunami

In Securing the Museum of Software in an AI Coding Tsunami, Eran Kinsbruner argues that software now consists of legacy, modern, and rapidly AI-generated code, creating unprecedented complexity and risk. Traditional AppSec can’t keep up with machine-speed development. He calls for a unified, developer-first, agentic AppSec platform that embeds security into coding workflows to prevent, fix, and secure all code eras before vulnerabilities reach repositories.

ChatGPT Image Nov 21, 2025, 09_43_10 AM
Story FAUN.dev() Team Trending
@eon01 shared a post, 4 months ago
Founder, FAUN.dev

100 GitHub Projects That Defined 2025: A Community-Driven Ranking

This article ranks the 100 developer tools developers acted on most in 2025, based on real interaction data from across FAUN·dev() ecosystem.

100 GitHub Projects That Defined 2025
Story
@laura_garcia shared a post, 4 months ago
Software Developer, RELIANOID

🔐🌱 Cybersecurity and industrial sustainability: a moment to reflect as the year comes to an end

We shared this article a few months ago, but year-end is the perfect time to revisit it and reflect on where the industry is heading in the year ahead. Cybersecurity and sustainability can no longer be treated as separate disciplines. They share a common goal: ensuring ethical, resilient, and respon..

Story FAUN.dev() Team
@eon01 shared a post, 4 months ago
Founder, FAUN.dev

Enshittification is not a bug

Docker Helm Kubernetes

Bitnami charts are still high quality, but their public image distribution is going away. Instead of rewriting everything, many teams can keep the charts and switch the underlying images (for example, to Docker Hardened Images) to minimize disruption and maintain security.

Bitnami vs Docker Hardened Images
Story
@laura_garcia shared a post, 4 months, 1 week ago
Software Developer, RELIANOID

🚀 Deploy RELIANOID CE v7 on AWS with Terraform

Quickly deploy RELIANOID Community Edition v7 on AWS using the official Terraform module. ✔️ VPC, Subnet & Security Group ✔️ EC2 with RELIANOID AMI ✔️ SSH & Web GUI ready ✔️ Easy cleanup with terraform destroy ⚠️ AMI is region-specific (default: us-east-1) 🔐 Always secure your SSH private key #Terra..

Flask is an open-source web framework written in Python and created by Armin Ronacher in 2010. It is known as a microframework, not because it is weak or incomplete, but because it provides only the essential building blocks for developing web applications. Its core focuses on handling HTTP requests, defining routes, and rendering templates, while leaving decisions about databases, authentication, form handling, and other components to the developer. This minimalistic design makes Flask lightweight, flexible, and easy to learn, but also powerful enough to support complex systems when extended with the right tools.

At the heart of Flask are two libraries: Werkzeug, which is a WSGI utility library that handles the low-level details of communication between web servers and applications, and Jinja2, a templating engine that allows developers to write dynamic HTML pages with embedded Python logic. By combining these two, Flask provides a clean and pythonic way to create web applications without imposing strict architectural patterns.

One of the defining characteristics of Flask is its explicitness. Unlike larger frameworks such as Django, Flask does not try to hide complexity behind layers of abstraction or dictate how a project should be structured. Instead, it gives developers complete control over how they organize their code and which tools they integrate. This explicit nature makes applications easier to reason about and gives teams the freedom to design solutions that match their exact needs. At the same time, Flask benefits from a vast ecosystem of extensions contributed by the community. These extensions cover areas such as database integration through SQLAlchemy, user session and authentication management, form validation with CSRF protection, and database migration handling. This modular approach means a developer can start with a very simple application and gradually add only the pieces they require, avoiding the overhead of unused components.

Flask is also widely appreciated for its simplicity and approachability. Many developers write their first web application in Flask because the learning curve is gentle, the documentation is clear, and the framework itself avoids unnecessary complexity. It is particularly well suited for building prototypes, REST APIs, microservices, or small to medium-sized web applications. At the same time, production-grade deployments are supported by running Flask applications on WSGI servers such as Gunicorn or uWSGI, since the development server included with Flask is intended only for testing and debugging.

The strengths of Flask lie in its minimalism, flexibility, and extensibility. It gives developers the freedom to assemble their application architecture, choose their own libraries, and maintain tight control over how things work under the hood. This is attractive to experienced engineers who dislike being boxed in by heavy frameworks. However, the same freedom can become a limitation. Flask does not include features like an ORM, admin interface, or built-in authentication system, which means teams working on very large applications must take on more responsibility for enforcing patterns and maintaining consistency. In situations where a project requires an opinionated, all-in-one solution, Django or another full-stack framework may be a better fit.

In practice, Flask has grown far beyond its initial positioning as a lightweight tool. It has been used by startups for rapid prototypes and by large companies for production systems. Its design philosophy—keep the core simple, make extensions easy, and let developers decide—continues to attract both beginners and professionals. This balance between simplicity and power has made Flask one of the most enduring and widely used Python web frameworks.