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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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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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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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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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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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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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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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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
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@devopslinks shared an update, 5 months 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
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@kala shared an update, 5 months ago
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OpenAI Goes All-In on Healthcare: ChatGPT Health for Consumers, and a Suite for Hospitals

ChatGPT GPT-5.2

OpenAI introduces ChatGPT for Healthcare, offering HIPAA-compliant AI tools to enhance healthcare delivery. The suite includes ChatGPT Health, designed to integrate health information with AI for improved user navigation.

OpenAI Goes All-In on Healthcare: ChatGPT Health for Consumers, and a Suite for Hospitals
AWX is the open source, community supported upstream project for Red Hat Ansible Automation Platform, formerly known as Ansible Tower. It gives teams a web based interface, a full REST API, and a distributed task engine on top of Ansible, turning command line playbook runs into a managed, auditable automation service.

The project began at AnsibleWorks as the commercial Ansible Tower product, and after Red Hat acquired Ansible, it open sourced the codebase as AWX in September 2017, positioning it as the development ground where new features land before they are hardened into the supported Automation Platform controller. With AWX, you organize automation around projects (synced from Git or other source control), inventories (static or dynamically pulled from cloud providers), credentials (stored encrypted and injected at runtime), and job templates that tie a playbook to its inventory and credentials. On top of that, it adds role based access control, a visual dashboard, job scheduling, workflow chaining, webhooks, and real time job output, so multiple teams can run, track, and delegate automation without sharing SSH keys or sitting at a terminal.

Modern AWX runs on Kubernetes or OpenShift through the AWX Operator, which manages installation, upgrades, and scaling declaratively, reflecting its shift from a single host application to a cloud native, container based platform. Because it is the upstream of a paid product, AWX moves fast and ships frequently, which makes it ideal for labs, learning, and self managed deployments, though teams needing formal support and long term stability typically run the downstream Automation Platform instead.