Ultimate Command Cheat Sheets
Your comprehensive resource for command-line tools, cybersecurity utilities, and development frameworks.
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Browse →Latest Cheat Sheets
SkyPilot - Run AI Workloads on Any Cloud CheatsheetSkyPilot runs LLM training and inference jobs on any cloud or Kubernetes cluster — it finds the cheapest available GPUs across providers, handles spot-instance recovery automatically, and abstracts away provider-specific setup.cargo-fuzz - Fuzzing Rust with libFuzzer Cheatsheetcargo-fuzz brings coverage-guided fuzzing to Rust projects with a single command — write a fuzz target as a Rust function, and libFuzzer plus sanitizers hunt for panics, overflows, and memory errors in your unsafe code.kubectl-ai - AI Assistant for Kubernetes Cheatsheetkubectl-ai is a Google-backed AI agent for Kubernetes that turns natural-language requests into kubectl operations — explain cluster state, generate manifests, and diagnose problems, with model-agnostic backends including local LLMs.DHAT - Dynamic Heap Analysis Tool CheatsheetDHAT is a Valgrind tool that profiles how your program actually uses the heap — not just how much it allocates, but access patterns, short-lived blocks, and memory that is allocated but never read.Bytehound - Memory Profiler for Linux CheatsheetBytehound is a fast memory profiler for Linux with a rich web UI — track every allocation, find leaks and temporary-allocation churn, and explore memory usage over time with flame graphs and interactive filtering.LlamaParse - Document Parsing for RAG CheatsheetLlamaParse is LlamaIndex's document parsing service built for LLM pipelines — extract clean Markdown from complex PDFs with tables, figures, and multi-column layouts, with parsing instructions you write in natural language.Snapchange - Snapshot-Based Fuzzing with KVM CheatsheetSnapchange is AWS's Rust framework for snapshot fuzzing — take a memory snapshot of a running target, then replay and mutate from that exact state millions of times using KVM, enabling fuzzing of code deep behind setup.LibAFL - Modular Fuzzing Framework CheatsheetLibAFL is a Rust library for building custom fuzzers from composable components — observers, feedbacks, mutators, and stages — instead of bending a monolithic tool to fit an unusual target.
Latest Blog Posts
eBPF Observability in 2026: Continuous Profiling and Watching What AI Agents Actually DoeBPF moved observability from sampling on demand to watching everything, always, at under 1% overhead. A guide to continuous profiling with Parca, and the newer frontier of using kernel-level tracing to see what autonomous AI agents really do to your systems.Modern Fuzzing in 2026: Snapshots, Frameworks, and Fuzzing What You Could Not BeforeFuzzing outgrew "throw random bytes at a binary." This guide covers the 2026 landscape — coverage-guided classics, kernel fuzzing with syzkaller, snapshot fuzzing with Snapchange, and building custom fuzzers with LibAFL — and how to pick.The Fast Build Toolchain in 2026: sccache, mold, nextest, and the Cost of WaitingSlow builds are not just annoying — they change how developers work. A practical guide to cutting compile, link, and test time with sccache, mold, and cargo-nextest, and how to measure whether any of it actually helped.LLM Red Teaming in 2026: garak, PyRIT, DeepTeam, and What Each One CatchesTesting an LLM app means attacking it. This guide covers the 2026 LLM red teaming landscape — model-layer scanners, application-layer suites, and agentic fuzzers — explaining what each tool catches, what it misses, and how to build a layered testing practice.AI Security Tooling in 2026: Agentic Pentesting and the Exposed AI Attack SurfaceAI changed security tooling twice over — agents that hunt vulnerabilities and validate them with real exploits, and a whole new attack surface of exposed inference servers. A guide to Strix, AIMap, and what the shift means for defenders.Observability on Object Storage in 2026: Why Logging Got 100x CheaperLog storage costs used to force teams to throw data away. A new generation of tools built on S3 rather than local disk changed the economics. A guide to the object-storage observability stack — Quickwit, OpenObserve, and Vector — and how to adopt it.Reproducible Dev Environments in 2026: Devbox, devenv, DevPod, and Dev Containers"Works on my machine" is a solvable problem. This guide covers the 2026 landscape of reproducible development environments — Nix-based tools like Devbox and devenv, container-based Dev Containers and DevPod — and how to pick the right approach for your team.Reverse Engineering WebAssembly in 2026: Reading the Web's New BinaryWebAssembly now runs everywhere — browsers, edge, plugins, and malware — and analysts increasingly need to read it. This guide covers wasm reverse engineering in 2026: the format, the toolchain (WABT, diswasm, Binaryen, wasm-tools), and a practical analysis workflow.