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I told Claude Code to build me an executive assistant. This is what my work as CTO looks like now

CTO at ZAR shares his experience managing 10 engineers, shipping code, and operating at the C-level with an AI assistant named Claude Code. The system allows him to maintain context across multiple workstreams, automate tasks, and scale his productivity. In just three weeks, he has documented 82 mee.. read more  

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Python 3.3: The Version That Quietly Rewired Everything

Python 3.3 introduced three key features that have had a lasting impact on Python development. Firstly, yield from simplified the composition of generators by allowing easy delegation between them. Secondly, venv standardized virtual environments in Python, improving isolation and reproducibility of.. read more  

Python 3.3: The Version That Quietly Rewired Everything
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@kaptain shared a link, 1 week ago
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Duolingo's Kubernetes Leap

Duolingo made a bold leap migrating 500+ services to Kubernetes, embracing Argo CD for blue-green deployments and leveraging GitOps for flexibility and control. This shift to a cellular architecture enabled them to isolate environments and manage developer trust while navigating AWS rate limits. Exc.. read more  

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Kubernetes Monitoring Helm chart v4: Biggest update ever!

The Kubernetes Monitoring Helm chart version 4.0 is designed to solve real pain points that users have hit as their monitoring setups have grown. Destinations are now defined as a map instead of a list, making it easier to manage configurations for multiple clusters. Collectors are defined by the us.. read more  

Kubernetes Monitoring Helm chart v4: Biggest update ever!
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How GitHub uses eBPF to improve deployment safety

GitHub hosts its own source code on github.com, creating a circular dependency. To mitigate this, GitHub maintains mirrors of its code and built assets. By using eBPF, GitHub can selectively monitor and block calls that create circular dependencies in their deployment system... read more  

How GitHub uses eBPF to improve deployment safety
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K3s on On-Prem Infrastructures the GitOps Way: Writing a Custom k0rdent Template from Scratch

Kubernetes, now 12 years old, has evolved into the universal operating system for modern infrastructure, running on various platforms like Proxmox. Using k0rdent, Proxmox, and K3s, users can provision and manage Kubernetes clusters on-premise in a declarative, repeatable, and clean manner. This appr.. read more  

K3s on On-Prem Infrastructures the GitOps Way: Writing a Custom k0rdent Template from Scratch
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When Kubernetes restarts your pod - And when it doesn’t

Production internals guide verified against Kubernetes 1.35 GA. Engineers need to understand terminology differences to avoid flawed runbooks and bad on-call decisions. Kubelet watches the pod spec, not other resources like ConfigMaps or Secrets, to explain the majority of config update investigatio.. read more  

When Kubernetes restarts your pod - And when it doesn’t
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Critical Claude Code vulnerability: Deny rules silently bypassed because security checks cost too many tokens

Clause Code security bypass: Anthropic's performance fix silently disabled deny rules for 500K+ developers when more than 50 subcommands were used in a command, impacting permission validation and security policy enforcement. The vulnerability stemmed from a tradeoff between security and performance.. read more  

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Scaling MCP adoption: Our reference architecture for simpler, safer and cheaper enterprise deployments of MCP

Cloudflare centralized MCP servers in a monorepo. It added governed templates, Cloudflare Access auth, audit logs, and DLP behind an MCP server portal. It launched Code Mode to collapse many tool schemas into two portal tools. Token use fell ~94%. Cloudflare Gateway now finds shadow MCP servers... read more  

Scaling MCP adoption: Our reference architecture for simpler, safer and cheaper enterprise deployments of MCP
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China has ‘nearly erased’ America’s lead in AI

Stanford HAI's 2026 AI Index shows China cut the U.S. lead inArenascores. In March 2026,Claude Opus 4.6ledDola‑Seed 2.0by 2.7%. A 2.7% margin is a photo finish. China outpaces the U.S. inpublicationcitations (20.6% vs 12.6% in 2024) and inindustrial robots(~295,000 vs 34,200). It also holds surplusc.. read more  

China has ‘nearly erased’ America’s lead in AI
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.