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Step-by-step guide to using Kubernetes v1.36's beta feature to modify container resource requests and limits in suspended Jobs. Covers creation, patching, resumption, and best practices.
Learn how GitHub responded to a critical RCE vulnerability in the git push pipeline: step-by-step incident response guide covering triage, root cause analysis, fix deployment, forensics, and patching GHES.
Step-by-step guide to reduce controller staleness in Kubernetes v1.36 using AtomicFIFO feature gate and new observability metrics.
Learn Markdown basics for GitHub: what it is, why it matters, where to use it, and how to create a test file to practice formatting.
Configure tiered memory protection in Kubernetes v1.36 Memory QoS: enable feature gate, set memoryReservationPolicy to TieredReservation, verify cgroup settings, monitor metrics, and apply best practices.
Learn how GitHub Copilot CLI's interactive and non-interactive modes work, when to use each, and how to switch between them for efficient terminal-based coding.
Step-by-step guide to in-place vertical scaling of pod-level resources in Kubernetes v1.36, covering prerequisites, pod creation, patching, resize policies, and verification.
Step-by-step guide to using Docker Offload for running Docker Desktop in restricted environments like VDI. Covers prerequisites, admin setup, developer usage, and security tips.
Learn how to deploy Gemma 4 AI models on Docker Hub in 6 steps: choose the right variant, pull the artifact, verify, run locally, integrate into CI/CD, and scale across environments.
A step-by-step guide to adopting Docker Hardened Images: choose multi-distro, use free images, verify attestations, automate patching, drop-in integrate, and monitor continuously.
Learn how to build secure agent isolation using microVMs with private Docker daemons, avoiding container and VM pitfalls.
Step-by-step guide to compressing LLM KV cache using Google's TurboQuant: setup, calibration, compression, evaluation, and deployment tips.
Expert insights on preventing AI agent identity theft through zero-knowledge architecture, credential governance, and misuse detection, with actionable steps for secure enterprise agent integration.
Explore how testing adapts when code is AI-generated and unknown. Covers non-determinism, data locality, construction, and new software assumptions.
Learn how Gen Z and everyone can avoid cognitive offloading by building a personal knowledge base. 7 Q&As explain the dangers of over-reliance on AI and steps to create your own intellectual resource.
Runpod CEO Zhen Lu discusses bypassing VCs via community funding, balancing founder intuition with user feedback, and the company's evolution from basement servers to global infrastructure with a software-layer, data-first approach.
MLH's CEO discusses the enduring need for developer communities, the DEV acquisition, and how AI tools empower artisan builders. Q&A format covers entry points, inclusivity, and why now is an exciting time to code.
Learn why coordinating multiple AI agents at scale is tough, and discover strategies like centralized orchestrators, efficient communication, and role separation to make them work together smoothly.
Exploring the making of documentaries about open-source software and the people behind major internet technologies, featuring Cult.Repo producers.
Explore why JavaScript's Date object fails, how the Temporal proposal fixes timezone and mutability issues, and how developers can prepare for the upcoming API.