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VentureBeat

12h

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The open source advantage: Faster bugs, better builds, wider buy-in

Open source licensing decisions can have a significant impact on tech companies, sparking strong opinions and potential backlash.
Releasing technology as open source can lead to wider adoption and community support, as seen with Kubescape.
Going open source can address DevOps teams' reluctance by promoting transparency and inviting contribution.
Donating code to reputable foundations can enhance trust and validate product quality.
Open source allows for continuous improvement through feedback and widespread usage testing.
Adoption and improvement rates can increase significantly with open-source community feedback.
While open source offers advantages, drawbacks include potential loss of control over usage and revenue concerns.
Understanding user base motivations is crucial when deciding to open source a project.
Establishing a clear monetization strategy is essential for the success of open-source companies.
Moving from closed source to open source is a one-way street with potential challenges in reverting back.

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Medium

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Top 10 Open Source Machine Learning Projects Every Developer Should Know (2025)

A powerful library for natural language processing (NLP), computer vision and multimodal tasks. Simplifies access to state-of-the-art models.
A classic ML library for everything from regression to clustering and pipelines. Perfect for beginners and essential for production workflows involving classical machine learning.
A deep learning optimization library developed by Microsoft. Powers training of trillion-parameter models and helps reduce memory usage.
A toolkit to build LLM-powered apps with external data sources using retrieval-augmented generation (RAG). LLM-agnostic and perfect for connecting your documents, databases, or APIs to LLMs.

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The New Stack

291

Image Credit: The New Stack

Kelsey Hightower, AWS’s Eswar Bala on Open Source’s Evolution

Kelsey Hightower and Eswar Bala discussed the evolution of open source software in a recent episode of The New Stack Makers.
Hightower highlighted the origins of open source in resistance against big vendors, questioning motives when big vendors engage in open source.
The conversation explored the history of open source in cloud computing and its connection to new projects like Karpenter and Cedar.
Open source provided accessibility and career opportunities to individuals without traditional tech backgrounds, according to Hightower.
Hightower highlighted how open source allows talent to emerge based on contributions, not formal credentials.
Eswar Bala shared insights on the emergence of Kubernetes and AWS's response to user demand for Kubernetes deployment.
AWS has transitioned from contributing to existing projects to creating new ones, like Karpenter and Cedar, under its open source strategy.
Collaboration in open source reflects a unique environment where competitive cloud providers work together based on customer feedback.
The shift towards public development in open source projects has influenced how cloud giants approach their development processes.
The discussion touched on topics like the role of established projects like Kubernetes in fostering innovation and the significance of community support for new projects.

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TechCrunch

305

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OpenAI debuts Codex CLI, an open source coding tool for terminals

OpenAI is launching Codex CLI, a coding "agent" designed to run locally from terminal software.
Codex CLI links OpenAI’s models with local code and computing tasks, allowing the models to write and edit code on a desktop and perform certain actions.
OpenAI plans to give out $1 million in API grants to eligible software development projects using Codex CLI.
Although AI coding tools like Codex CLI bring benefits, they also come with risks, such as potential security vulnerabilities and bugs.

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The New Stack

373

Image Credit: The New Stack

The Kro Project: Giving Kubernetes Users What They Want

Big tech companies, including Google, Amazon, and Microsoft, have collaborated on an open source project called Kro - the Kubernetes Resource Orchestrator.
Kro aims to simplify Kubernetes custom resource orchestration and address the challenge of resource orchestration while maintaining cloud flexibility.
The collaboration emerged in response to customer demand for a Kubernetes-native, cloud-agnostic tool that can run on any Kubernetes cluster provided by any vendor.
Kro, still in its alpha stage, has attracted significant community interest and is focused on enabling core features and becoming production-ready.

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22 Likes

Medium

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15 Open-Source Alternatives to Expensive SaaS Tools You Use Daily

We live in a world dominated by sleek SaaS tools, but relying on them means renting convenience and being locked in.
Fortunately, there are 15 powerful open-source alternatives to replace expensive SaaS tools.
These tools offer no monthly fees, no vendor lock-in, and full control.
Examples include an open-source alternative to Webflow, a web builder called Webstudio.

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Medium

Image Credit: Medium

Running Local AI Models on Your PC: A Complete Guide

Ollama is an open-source command-line and API toolkit that allows you to download, manage, and run language models on your own machine.
Open-source software enables cost-effective and offline functioning of AI models without relying on cloud-based services.
The process of running local AI models using Ollama is quick and straightforward.
Misty, a graphical interface, complements Ollama for those who prefer a visual environment.

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Medium

269

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Top 12+ Open-Source Design Systems Used by Leading Tech Giants (That You Can Steal Today)

Design systems are essential for maintaining consistency and usability in software applications.
Leading tech giants like Google, Shopify, GitHub, and Microsoft have developed open-source design systems.
These design systems are polished, scalable, and accessibility-first, making them ideal for quick integration into new projects.
Here is a list of some of the best open-source design systems for developers to leverage.

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16 Likes

Medium

109

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TetraCube: Forging Sovereign Quantum-Resilient Trust Systems for a Post-Earth Civilization

TetraCube is a post-quantum cryptographic framework designed to ensure trust and secure communication in isolated environments.
It is built with decentralized, quantum-resilient networks to protect nations and civilizations.
TetraCube allows for the rebuilding of trust, governance, and sovereignty using code and willpower, even in total isolation.
The system is designed for various celestial bodies and aims to enable rebuilding without requiring permission.

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6 Likes

Medium

358

Image Credit: Medium

12+ Best Tailwind UI Plus Alternatives for 2025 (Free & Open-Source Picks)

Tailwind UI Plus Components alternatives are gaining popularity in 2025.
TailGrids is a cost-effective option for building MVPs or production apps quickly.
Preline is an open-source alternative with clean layout and strong accessibility support.

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21 Likes

Medium

120

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The Invisible Labor Crisis in Open-Source: Who Pays the Price?

Developers worldwide rely on open-source tools, often maintained by a single unpaid maintainer.
The sabotage of faker.js highlighted the issue of open-source burnout cases.
Tech giants profit from open-source labor, while some projects thrive with funding models.
Elasticsearch and Redis adopted new licenses for survival and more projects may follow.

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The New Stack

Image Credit: The New Stack

Harness Kubernetes Costs With OpenCost

The rising complexity and costs associated with Kubernetes have become a common concern for many organizations.
Cloud Foundry Korifi, built on Kubernetes, simplifies application deployment and management by abstracting away complexities.
OpenCost, an Open Source CNCF project, offers comprehensive cost visibility and optimization capabilities for cloud infrastructure.
Korifi streamlines application deployment, supports various languages, automates networking, and enhances the developer experience.
OpenCost provides insight into cloud spending, supports multiple providers, aids data-driven decision-making, and encourages community-driven development.
Installing Korifi and OpenCost on a local Kubernetes cluster involves using Helm and following specific configurations.
OpenCost UI displays cost information per pod and namespace, aiding in accountability, optimization, and anomaly identification.
Utilizing open source tools like OpenCost with Korifi allows for monitoring costs at a granular level, aiding in better resource allocation decisions.
The integration of OpenCost with Kubernetes clusters offers insights into infrastructure costs beyond just cloud provider charges.
Understanding and optimizing costs through tools like OpenCost and Korifi helps engineering teams make informed decisions for resource allocation.

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Eu-Startups

273

British startup Portia AI bags €5 million to help developers build AI agents in production with better human oversight

London-based startup Portia AI secured €5.1 million in funding to empower developers with the tools to build production-grade AI agents with better human oversight.
The funding round was led by General Catalyst and supported by First Minute Capital and Stem AI.
Portia AI, co-founded by former Stripe and Google leads, offers an open-source SDK to build controllable and authenticated agents and provides complimentary cloud features for easy production deployments.
The company aims to address the challenges of deploying reliable agents in production and is focused on creating more reliable AI agents for various applications.

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Hackernoon

370

Image Credit: Hackernoon

The $0 Scheduler That Almost Cost a Compny Everything

A company faced severe CPU load spikes and system crashes during task triggers when migrating to DolphinScheduler.
The issue was found to be related to improper scheduler configuration, not the number of tasks.
They balanced machine load and task demands by adjusting thread settings in DolphinScheduler.
The company transitioned from Alibaba Cloud DataWorks to a self-built big data platform due to budget constraints.
Initially using 4 ECS servers for the platform, resources were gradually transitioned from DataWorks to DolphinScheduler.
High CPU load spikes occurred during task scheduling intervals, causing system instability and crashes.
Investigations revealed that adjusting thread settings and CPU limits in DolphinScheduler resolved the CPU spike problem.
Configuration adjustments were made in DolphinScheduler's master and worker components to ensure smoother task execution.
JVM memory settings were also optimized in the start.sh scripts for both master and worker components.
Balancing thread counts and CPU limits helped stabilize CPU usage during task triggers and prevent system crashes.

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22 Likes

The Robot Report

401

Hugging Face bridges gap between AI and physical world with Pollen Robotics acquisition

Hugging Face has acquired French robotics firm Pollen Robotics to bridge the gap between AI and the physical world.
Pollen Robotics' flagship product, Reachy 2, a modular humanoid robot, will be added to Hugging Face's portfolio, aiming to position robots as the next frontier for AI.
The acquisition will integrate Hugging Face's AI tools with Reachy's hardware, enabling the development of open-source, customizable robotic systems.
Hugging Face envisions a future where advanced robotics is accessible to a wider audience, promoting an open, affordable, and private approach.

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