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Cursor AI Code Editor Fixed Flaw Allowing Attackers to Run Commands via Prompt Injection

XM Cyber dropped a practical guide for rolling outContinuous Threat Exposure Management (CTEM)with its platform—geared for those eyeing 2025 readiness. It dives into wiring up real-time exposure visibility, validating actual risk, and tightening up remediation across complex enterprise setups. Why .. read more  

Cursor AI Code Editor Fixed Flaw Allowing Attackers to Run Commands via Prompt Injection
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GPT-5 is here

GPT-5 tightens reasoning and lands cleaner hits inmath,science,finance, andlaw. It outpaces GPT-4—not just wider, but deeper... read more  

GPT-5 is here
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Anthropic says OpenAI engineers using Claude Code ahead of GPT-5 launch

Anthropic just shut the door on OpenAI, yanking access to theClaude Code APIafter spotting ChatGPT engineers poking around—likely prepping forGPT-5. Claude Codeisn’t just an internal toy. It’s a serious coding co-pilot, used in the wild by devs who want answers without babysitting a model. Market .. read more  

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Blue‑Green Deployment in 1 diagram and 195 words

Blue-Green deployment runs two matching environments so you can flip traffic with zero downtime—and yank it back fast if something breaks. Kubernetes + IstioandSpinnakerhandle the heavy lifting. They steer traffic between versions and keep infra lean... read more  

Blue‑Green Deployment in 1 diagram and 195 words
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Perplexity is using stealth, undeclared crawlers to evade website no-crawl directives

Perplexity AI’s stealth crawling behavior includes modifying user agents and source ASNs to avoid website blocks, highlighting the importance of transparent bot behavior... read more  

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Project Ire autonomously identifies malware at scale

Microsoft just droppedProject Ire, an autonomous AI that tears through software like a experienced reverse engineer. It decompiles, analyzes, classifies malware—all on its own. Under the hood: LLMs, decompilers, and a tool-use API running the show. On public Windows driver datasets, it scored0.98 p.. read more  

Project Ire autonomously identifies malware at scale
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Writing an internal Terraform provider from A to Z

Typeform rolled their ownTerraform providerto wrangle runtime data through an internal API. Built with HashiCorp’sGo SDK, the official scaffolding framework, and wired up withacceptance testsfor full lifecycle muscle. They skipped the publicTerraform Registryentirely. Instead, they shipped provider.. read more  

Writing an internal Terraform provider from A to Z
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Introducing Approvals in Pulumi ESC

Pulumi ESC just leveled up withApprovals—structured reviews for environment config changes, straight from Console, CLI, SDK, or VS Code. Think pull requests, but for your infra settings. No more YOLO updates. Teams can now lock down config changes with required sign-offs. More control. Cleaner logs.. read more  

Introducing Approvals in Pulumi ESC
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🚨 Azure Service Health Built-In Policy (Preview) – Now Available! 

Microsoft just droppedAzure Service Health Built-In Policy(Preview). It lets teams push Service Health alerts across every Azure subscription—automatically—using Azure Policy. No more piecemeal setup. It folds in AMBA lessons, supports custom rules and action groups, and locks in alert coverage at .. read more  

🚨 Azure Service Health Built-In Policy (Preview) – Now Available! 
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From Manual Testing to AI-Generated Automation: Our Azure DevOps MCP + Playwright Success Story

A team wired up Azure DevOps’MCP serverwithGitHub Copilotto crank outPlaywrightend-to-end tests from manual test cases. They now run tests on demand from Azure Test Plans, convert entire test suites in bulk, and drop the results into CI pipelines—no hand-holding required. System shift:AI's not just.. read more  

From Manual Testing to AI-Generated Automation: Our Azure DevOps MCP + Playwright Success Story
GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.