Security

In February 2025, Andrej Karpathy posted a tweet that most engineers scrolled past: “There’s a new kind of coding I call ‘vibe coding’, where you fully give in to the vibes, embrace exponentials, and forget that the code even exists… I just see stuff, say stuff, run stuff, and copy-paste stuff.” Most senior engineers read it and moved on. “A prototyping trick. Nothing serious.” They were wrong. Fifteen months later, 63% of users of AI coding tools are non-technical. CEOs are building internal systems with Claude prompts. PMs are replacing Excel with automated dashboards. BAs are creating workflow automation without touching a codebase. And critically — they are shipping those things to production. ...

Series Orientation: This article is Part 1 of the AI Code Review & Vibe Coding series, tailored for non-technical builders navigating the initial phase of vibe coding. For the overall roadmap, see the Series Executive Summary. In July 2025, the CEO of a Series A startup proudly demoed a working internal operations system — 140,000 lines of code — built entirely with Claude prompts over four weeks. No engineers on the founding team. No technical co-founder. Just a business founder, a clear problem, and a willingness to “give in to the vibes.” ...

Prerequisite: AI Security requires a different mindset compared to traditional Web Security. Please refer to Comprehensive AI-Native System Architecture to understand the system context before diving into Tool Calling. In Part 2, our Agent achieved perfect memory. But a good memory alone isn’t enough; the true power of an Agentic System lies in its ability to Take Action by calling Tools. However, granting an AI access to a Database or Email implies opening the door to unprecedented attacks. ...

1. The Silent Assassin: Indirect Prompt Injection In the era of RAG and Agentic AI, Hackers no longer need to directly type attack commands (Jailbreaks) into your chat interface. They attack your very data source. This is known as Indirect Prompt Injection – Vulnerability #1 on the OWASP Top 10 for LLMs list in 2026. Attack Mechanism: A Hacker embeds a malicious command line into a PDF file, Word document, or on a public website. This command could be printed in white text on a white background, with a 1px font size, or hidden deep within CSS/Metadata structures. The human eye cannot see it, but Data Ingestion tools (like Unstructured.io or LlamaParse) read it crystal clear. ...

Welcome to this week’s Tech Radar. In our previous issue, we discussed Cloud-Native AI Architecture. Khi chúng ta đã có hạ tầng mạnh mẽ (Envoy, K8s Inference), vấn đề tiếp theo lập tức xuất hiện: Làm sao để kiểm soát bầy AI (AI Swarm) này? Đừng “thả rông” AI Agents trong production. Hôm nay, chúng ta đào sâu vào Zero-Trust Security cho Multi-Agent Swarms. 1. Tech News Radar: Lỗ hổng Agentic và sự trỗi dậy của Non-Human Identity Answer-first: Sự bùng nổ của AI Agents kéo theo rủi ro bảo mật nghiêm trọng (OWASP ASI02). Các API keys tĩnh không còn phù hợp; hệ thống đòi hỏi “Định danh cho Máy” (Non-Human Identity - NHI) qua công nghệ như SPIFFE để kiểm soát từng Agent độc lập. ...

Prerequisite: This is Part 11 of the System Design Masterclass. Previous parts built the core components — this part covers securing APIs and managing client traffic spikes at scale. Answer-first: API rate limiting defends backend services by restricting request volume. Security requires a layered defense: Web Application Firewalls (WAF) block edge-level volumetric spikes, API Gateways manage L7 credentials and quotas, and application middleware enforces fine-grained business limits. Client identification must rely on validated, secure IP parsing (using the PROXY protocol or rightmost X-Forwarded-For checks). ...

Answer-first: “Vibe coding”—relying on AI to write code without understanding it—creates complex, hard-to-maintain codebases that fail in production. Resolving this requires automated AI code reviews in the CI/CD pipeline to enforce design conventions and detect security vulnerabilities. What You’ll Learn That AI Won’t Tell You Setting up automated AI reviewer tools in GitHub Actions. How to enforce design guidelines and coding standards in LLM-assisted pipelines. In February 2025, Andrej Karpathy, former Tesla AI Lead and OpenAI co-founder, tweeted a phrase that would define a new paradigm in software development: ...

Today is May 22, 2026, the week following Google I/O, witnessing a massive transition from AI Copilots (limited to summarizing and recommending) to autonomous AI Agents (capable of proactive execution). While developers are excited about Gemini Intelligence and Autonomous AI Swarm architectures, the cybersecurity community faces a major challenge: How do we control these non-human actors? Today’s Radar bulletin dissects the strategic moves from the NSA, Microsoft, and Zscaler in establishing security boundaries for the “Agentic Web”. ...

Today is May 21, 2026. Just 48 hours after the explosive sessions of Google I/O Day 1, the software industry continues to receive architectural signals that will define the second half of 2026. If you haven’t read the May 19 radar on Gemini Intelligence and Firebase’s Agent-Native transition or the May 18 radar on Kubernetes v1.36 and Google I/O prep, that is the necessary background context. Today, we witness the formalization of the Antigravity 2.0 developer ecosystem with concrete command parameters, the release of the low-cost Gemini 3.5 Flash model addressing the agentic cost crisis analyzed in the May 15 radar, and a major cybersecurity storm hitting the DevOps supply chain orchestrated by the threat actor group TeamPCP (UNC6780). ...

Answer-first: Magento 2.4.9 remains viable for large-scale enterprise commerce but carries high ownership costs due to mandatory PHP 8.3/OpenSearch upgrades and extension maintenance. For fast-growing businesses, migrating to a composable or microservices architecture often provides better long-term scalability and development velocity. What You’ll Learn That AI Won’t Tell You Detailed analysis of Magento 2.4.9 upgrade effort vs benefits. Total cost of ownership projection comparing Magento cloud hosting to self-hosted AWS EKS. The question is not “Is Magento good?” The real question is: is Magento a good investment for your business, right now, given your constraints? ...

In the last 24 hours, signals point toward a deeper integration of AI in operational control and a continuing emphasis on securing critical perimeter infrastructure. From agentic AI handling decision support to AI-driven observability in Kubernetes, the narrative is shifting from “AI as an assistant” to “AI as an orchestrator.” Meanwhile, critical security advisories remind us that the base layer remains under constant threat. 1. TACTICA AI: Agentic AI for Decision Support Abu Dhabi-based startup TACTICA AI has introduced a multi-domain decision-support platform. The core capability centers around agentic AI orchestration, designed to transform fragmented intelligence and operational data into actionable outcomes. ...

If your ingress layer still depends on a 400-line manifest full of controller-specific annotations, you do not have a clean networking platform. You have institutional memory encoded as YAML archaeology. That is why the March 14, 2026 release of Gateway API v1.5 matters so much. When Kubernetes published the detailed announcement on April 21, 2026, the real signal was not merely that six features moved to the Standard channel. It was that Kubernetes networking is finally becoming modular enough for platform teams to delegate ownership safely, enforce TLS policy sanely, and migrate away from annotation-driven controller behavior without rewriting their entire edge stack by hand. ...

Kubernetes v1.36 “Haru” shipped on April 22, 2026, one day ago. The release carries 70 enhancements: 18 to stable, 25 to beta, 25 to alpha. After reading the full release notes and the detailed pre-release analysis directly from the source material, the picture that emerges is not a flashy feature drop. It is a release that closes several long-standing lifecycle gaps, hardens the security model in ways that matter for production, and makes a meaningful architectural bet on Dynamic Resource Allocation as the future of GPU and AI workload management. ...