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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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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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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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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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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, 2 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, 2 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
News FAUN.dev() Team
@devopslinks shared an update, 2 months ago
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There Are Kernel Bugs in Your System That Won’t Be Found for 20 Years

The Linux Kernel

The analysis of Linux kernel bugs shows that some bugs remain undiscovered for over 20 years, with an average lifespan of 2.1 years. The study examined 125,183 bug-fix pairs and found that certain subsystems have longer bug lifetimes. A tool developed for the research identified 92% of historical bugs, and findings indicate that bug discovery has improved over time.

There Are Kernel Bugs in Your System That Won’t Be Found for 20 Years
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.