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God is hungry for Context: First thoughts on o3 pro

OpenAIjust took an axe too3pricing—down 80%. Entero3-prowith its $20/$80 show. They boast a star-studded 64% win rate against o3. Forget Opus;o3-pronails picking the right tools and reading the room, flipping task-specific LLM apps on their heads... read more  

God is hungry for Context: First thoughts on o3 pro
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BenchmarkQED: Automated benchmarking of RAG systems

BenchmarkQEDtakes RAG benchmarking to another level. ImagineLazyGraphRAGsmashing through competition—even when wielding a hefty1M-tokencontext. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not,AutoQis in its corner, crafting a smorgasbord of synthetic quer.. read more  

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Modern Test Automation with AI(LLM) and Playwright MCP (Model Context Protocol)

GenAI and Playwright MCP are shaking up test automation. Think natural language scripts and real-time adaptability, kicking flaky tests to the curb.But watch your step:security risks lurk, server juggling causes headaches, and dynamic UIs refuse to play nice... read more  

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The End of Static AI: How Self-Evolving Meta-Agents Will Reshape Work Forever

Meta-agent architectureunleashes AI agents to craft, sharpen, and supercharge other agents—leaving static models in the dust. Amazingly, within a mere 60 seconds, one agent slashes response times by40%and boosts accuracy by23%. The kicker? It keeps learning from real data—no human nudges needed... read more  

The End of Static AI: How Self-Evolving Meta-Agents Will Reshape Work Forever
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DevOps Tools Targeted for Cryptojacking

JINX-0132takes a sneaky approach. It exploits Nomad's initial slip-ups to secretly mine crypto. How? By leveraging GitHub for downloads and dodging those pesky Indicators of Compromise (IOCs). Even big players using Nomad to juggle hundreds of clients aren't safe. A simple misconfiguration and poof—.. read more  

DevOps Tools Targeted for Cryptojacking
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What I’ve Learned from Designing Landing Zones On Google Cloud

Cloud Foundation FabricandFASTmake Google Cloud feel more like a well-oiled machine than a hair-pulling puzzle. They slice through the setup with killer precision, laying down a rock-solid, enterprise-grade foundation. No IAM madness. No network disasters waiting to explode. Just scalable, secure co.. read more  

What I’ve Learned from Designing Landing Zones On Google Cloud
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FinOps X 2025 Cloud Announcements: AI Agents and Increased FOCUS™ Support

AWSjust decreed its new AI-infusedCost Optimization Hub. This gizmo tackles the chaos of tracking overlapping opportunities among millions of resources. Meanwhile,Google CloudunleashedForecasting Enhancements. They claim their AI now wrangles pesky outliers and wild trends, turning financial crystal.. read more  

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Are You Over-Engineering Your Tests? – Think Like a Tester

Over-engineering alert:Automating every last thing? Recipe for disaster. Flaky tests galore! Stick to manual edge cases and sharp, atomic checks instead of drowning in script spaghetti.Abstraction overload ahead!Chasing too much abstraction makes maintenance a headache. Keep tests clean and clear.St.. read more  

Are You Over-Engineering Your Tests? – Think Like a Tester
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Exploiting CI/CD with Style(lint): LOTP Guide

CI/CD is vulnerable toLiving Off the Pipeline(LOTP) attacks via tools like linters, formatters, build, and test tools—no need to modify workflows. Hacking depends on unexpected code execution, context files, plugins, environment variables... read more  

Exploiting CI/CD with Style(lint): LOTP Guide
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You’re not a platform team if you’re just managing infrastructure

Platform engineering? It's not just gift-wrapping infrastructure as a service. It's about handing devs the reins and saying, "Go wild." Think of it like an Internal Developer Platform (IDP), similar to theGoogle Cloud Platform. Here, users truly own their services. The result? Scalability soars, bot.. read more  

You’re not a platform team if you’re just managing infrastructure
GitGuardian provides enterprise-grade monitoring, detection, and remediation for secret leaks in source code and cloud environments. It scans public and private Git repositories, developer machines, CI/CD pipelines, containers, and infrastructure-as-code files. The platform uses advanced detection models, incident management workflows, and real-time alerting to stop credentials, tokens, and sensitive configuration from leaking into version control or external sources. Security teams use GitGuardian to enforce secret hygiene, harden CI pipelines, reduce developer risk, and maintain a clean security posture at scale.