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@kala shared a link, 2 days, 18 hours ago
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Towards Generalizable and Efficient Large-Scale Generative Recommenders

Authors discuss their approach to scaling generative recommendation models from O(1M) to O(1B) parameters for Netflix tasks, improving training stability, computational efficiency, and evaluation methodology. They address challenges in alignment, cold-start adaptation, and deployment, proposing syst.. read more  

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@kala shared a link, 2 days, 18 hours ago
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Where good ideas come from (for coding agents)

A new way to build agents treats prompting ascontext navigation, steering the LLM through ideas like a pilot, not tossing it prompts and hoping for magic. It maps neatly onto Steven Johnson’s seven patterns of innovation. For coding agents to actually pull their weight, users need to bring more than.. read more  

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@kala shared a link, 2 days, 18 hours ago
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Agentic AI, MCP, and spec-driven development: Top blog posts of 2025

AI speeds up dev - but it’s a double-edged keyboard. It sneaks in subtle bugs and brittle logic that break under pressure. To keep things sane, teams are fighting back withguardrail patterns,AI-aware linters, andtest suites hardened for hallucinated code... read more  

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@devopslinks shared a link, 2 days, 18 hours ago
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Cloud Workload Threats - Runtime Attacks in 2026

Cloud-native breaches keep slipping through the cracks, not because no one’s watching, but because they’re watching the wrong things. Static checks and posture tools can’t catch what happens in motion. That’s where most attacks live now: at runtime. Think app-layer exploits, poisoned dependencies, s.. read more  

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@devopslinks shared a link, 2 days, 18 hours ago
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Weaponizing the AWS CLI for Persistence

Researchers pulled off a slick persistence trick usingAWS CLI aliases. They chained dynamic alias renaming with command execution to swipe credentials, without breaking expected CLI behavior. No red flags. Perfect fit forautomated environmentslike CI/CD pipelines. Backdoors, no AWS CLI tampering req.. read more  

Weaponizing the AWS CLI for Persistence
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@devopslinks shared a link, 2 days, 18 hours ago
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21 Lessons From 14 Years at Google

A seasoned Google engineer drops 21 sharp principles for scaling engineering beyond just writing code. Think:clarity beats cleverness,users over egos,alignment over being “right.”The core message? Build systems humans can work with - especially under stress. Favorites: kill pointless work, treat pro.. read more  

21 Lessons From 14 Years at Google
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@devopslinks shared a link, 2 days, 18 hours ago
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Terraform governing with OPA

When managing infrastructure with Terraform, enforcing tagging standards, instance type restrictions, preventing public exposure, enforcing regions, and other best practices are essential with Open Policy Agent (OPA). OPA evaluates Terraform plans before apply to ensure compliance with organization'.. read more  

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@devopslinks shared a link, 2 days, 18 hours ago
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Azure Hybrid Benefit Audit Guide: Avoid the $50K Licensing Mistake (2025)

Azure just tightened the screws on Hybrid Benefit. Use it without the rightSoftware Assurance, botch yourlicense-to-core mapping, or skipdecommissioning proof, and you’re staring down $50K+ in penalties. To help dodge that landmine, Microsoft dropped a new guide. It covers pre-migration checks, audi.. read more  

Azure Hybrid Benefit Audit Guide: Avoid the $50K Licensing Mistake (2025)
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@eon01 shared a post, 2 days, 18 hours ago
Founder, FAUN.dev

2025's most influential projects according to GitHub

GitHub

Universe 2025 highlighted a shift toward mature, developer-first open source projects that favor usability, sustainability, and real-world adoption over hype. From backend platforms and release tooling to browsers, graphics engines, and security baselines, the standout projects all share one trait: they are being actively used, maintained, and pushed forward by communities that know exactly what problems they are solving.

Open Source at Full Throttle: The Projects Setting the Pace in 2025
News FAUN.dev() Team Trending
@devopslinks shared an update, 3 days, 7 hours ago
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Linus Torvalds Draws a Line on AI in the Linux Kernel but Embraces It in Personal Projects

Google Antigravity

Linus Torvalds argues that Linux kernel guidelines should treat AI like any other development tool, not as a special case, saying documentation cannot solve bad submissions. At the same time, he openly acknowledges using an AI coding tool in a personal project, signaling pragmatic acceptance of AI-assisted development outside core kernel policy.

Linus Torvalds vibe coding a side project
OpenAI is an independent artificial intelligence research organization that was founded in 2015 with the goal of promoting the development and safe use of advanced AI technologies. The organization's research focuses on a wide range of AI applications, including natural language processing, computer vision, and robotics. OpenAI's research is driven by a team of world-class researchers and engineers who work to develop cutting-edge AI technologies that are both powerful and safe.

One of the key goals of OpenAI is to promote responsible AI development. To this end, the organization works closely with policymakers, industry leaders, and other stakeholders to ensure that AI is developed in a way that is ethical and beneficial for society. OpenAI also provides resources and training to help people better understand AI and its potential impacts.

OpenAI's research has led to numerous breakthroughs in the field of AI, including the development of advanced language models like GPT-3, which can generate coherent and human-like text. The organization has also developed AI technologies that are used in a variety of applications, from self-driving cars to medical diagnostics.

Overall, OpenAI is at the forefront of AI research and development, and is working to ensure that AI is developed in a way that benefits everyone.