Technical articles on cybersecurity, DevOps, cloud, and development tools.https://1337skills.com/en-ushttps://1337skills.com/blog/2026-07-25-ai-security-tooling-2026-strix-aimap-agentic-pentesting/https://1337skills.com/blog/2026-07-25-ai-security-tooling-2026-strix-aimap-agentic-pentesting/AI 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.Sat, 25 Jul 2026 00:00:00 GMTcybersecurityaipentestingoffensive-securityllm-securitydevsecopshttps://1337skills.com/blog/2026-07-25-observability-on-object-storage-2026-quickwit-openobserve-vector/https://1337skills.com/blog/2026-07-25-observability-on-object-storage-2026-quickwit-openobserve-vector/Log 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.Sat, 25 Jul 2026 00:00:00 GMTmonitoringobservabilityloggingdevopsopentelemetryinfrastructurehttps://1337skills.com/blog/2026-07-18-reproducible-dev-environments-2026-devbox-devenv-devpod/https://1337skills.com/blog/2026-07-18-reproducible-dev-environments-2026-devbox-devenv-devpod/"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.Sat, 18 Jul 2026 00:00:00 GMTdevelopmentdevopsnixcontainersreproducibilitytoolinghttps://1337skills.com/blog/2026-07-18-webassembly-reverse-engineering-2026-wasm-analysis/https://1337skills.com/blog/2026-07-18-webassembly-reverse-engineering-2026-wasm-analysis/WebAssembly 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.Sat, 18 Jul 2026 00:00:00 GMTreverse-engineeringwebassemblywasmmalware-analysissecuritybinary-analysishttps://1337skills.com/blog/2026-07-06-code-first-ai-agents-2026-smolagents-pydantic-ai/https://1337skills.com/blog/2026-07-06-code-first-ai-agents-2026-smolagents-pydantic-ai/JSON tool calls are giving way to agents that act by writing Python. This guide explains the code-first agent paradigm — why it reduces LLM calls and improves performance — through smolagents and Pydantic AI, plus the sandboxing that makes it safe.Mon, 06 Jul 2026 00:00:00 GMTaiagentsllmcode-agentspythonframeworkshttps://1337skills.com/blog/2026-07-06-open-source-dast-2026-zap-nuclei-wapiti-web-scanning/https://1337skills.com/blog/2026-07-06-open-source-dast-2026-zap-nuclei-wapiti-web-scanning/No single scanner finds every web vulnerability. This guide explains dynamic application security testing in 2026 and how the open-source tools — ZAP, Nuclei, Wapiti, Nikto — fit together into a layered DAST pipeline that plugs into CI/CD.Mon, 06 Jul 2026 00:00:00 GMTcybersecuritydastweb-securityappsecdevsecopsscanninghttps://1337skills.com/blog/2026-06-30-ai-agent-memory-2026-cognee-graphiti-mem0-letta/https://1337skills.com/blog/2026-06-30-ai-agent-memory-2026-cognee-graphiti-mem0-letta/Context windows are not memory. This guide surveys the 2026 agent-memory landscape — Mem0, Cognee, Graphiti/Zep, and Letta/MemGPT — explaining vector, graph, and temporal approaches, and how to choose a memory layer that actually persists what matters.Tue, 30 Jun 2026 00:00:00 GMTaiagentsmemoryknowledge-graphsragllmhttps://1337skills.com/blog/2026-06-30-llm-inference-engines-2026-vllm-llamacpp-aphrodite-lmdeploy/https://1337skills.com/blog/2026-06-30-llm-inference-engines-2026-vllm-llamacpp-aphrodite-lmdeploy/There is no single best way to run an LLM anymore — there is a small set of mature engines, each with a personality. A practical guide to the 2026 inference landscape: throughput serving, local/edge inference, quantization breadth, and how to choose.Tue, 30 Jun 2026 00:00:00 GMTaillminferencequantizationservinglocal-llmhttps://1337skills.com/blog/2026-06-24-document-parsing-rag-2026-docling-chunking/https://1337skills.com/blog/2026-06-24-document-parsing-rag-2026-docling-chunking/Every RAG system is only as good as the documents it ingested. This guide covers the 2026 document-parsing and chunking stack — Docling, Marker, Unstructured, and chunking toolkits — and why getting ingestion right matters more than your choice of vector database.Wed, 24 Jun 2026 00:00:00 GMTairagdocument-parsingchunkingretrievalllmhttps://1337skills.com/blog/2026-06-24-ebpf-runtime-security-2026-falco-tetragon-tracee/https://1337skills.com/blog/2026-06-24-ebpf-runtime-security-2026-falco-tetragon-tracee/Userspace security agents are giving way to eBPF, which watches the kernel itself with under 1% overhead. A deep comparison of the three open-source eBPF runtime security tools — Falco, Tetragon, and Tracee — covering detection, enforcement, forensics, and how to choose.Wed, 24 Jun 2026 00:00:00 GMTcybersecurityebpfruntime-securitycloud-nativekubernetesdetectionhttps://1337skills.com/blog/2026-06-18-llm-observability-2026-tracing-evaluation-phoenix-langfuse/https://1337skills.com/blog/2026-06-18-llm-observability-2026-tracing-evaluation-phoenix-langfuse/You cannot improve an LLM app you cannot see. This guide covers the observability stack that ships in 2026 — distributed tracing for agents, LLM-as-judge evaluation, and why OpenTelemetry became the connective standard, with Phoenix, Langfuse, and MLflow as worked examples.Thu, 18 Jun 2026 00:00:00 GMTaillmobservabilityevaluationopentelemetryagentshttps://1337skills.com/blog/2026-06-18-modern-network-diagnostics-cli-trippy-doggo-dns/https://1337skills.com/blog/2026-06-18-modern-network-diagnostics-cli-trippy-doggo-dns/The classic network toolkit — ping, traceroute, dig — still works, but a generation of Rust and Go tools makes diagnosing latency, routing, and DNS dramatically faster. A practical guide to the modern terminal network toolkit and the workflows that actually find problems.Thu, 18 Jun 2026 00:00:00 GMTnetworkingclidnsperformancelinuxtroubleshootinghttps://1337skills.com/blog/2026-06-12-behavioral-supply-chain-security-socket-malicious-packages/https://1337skills.com/blog/2026-06-12-behavioral-supply-chain-security-socket-malicious-packages/CVE scanners tell you about yesterday's known bugs; they say nothing about the malicious package published an hour ago. A guide to behavioral supply chain security in 2026 — how tools like Socket, Syft, Grype, and Sigstore fit together to defend the open-source dependency tree.Fri, 12 Jun 2026 00:00:00 GMTcybersecuritysupply-chainsbomdevsecopsopen-sourcedependencieshttps://1337skills.com/blog/2026-06-12-production-rag-2026-hybrid-search-reranking-graphrag/https://1337skills.com/blog/2026-06-12-production-rag-2026-hybrid-search-reranking-graphrag/The naive embed-and-retrieve RAG of 2023 quietly failed in production. This guide covers the architecture that actually ships in 2026 — hybrid search, cross-encoder reranking, GraphRAG, and the evaluation discipline that holds it all together.Fri, 12 Jun 2026 00:00:00 GMTairagretrievalllmgraphragsearchhttps://1337skills.com/blog/2026-06-07-ai-offensive-security-mcp-tool-server-boom/https://1337skills.com/blog/2026-06-07-ai-offensive-security-mcp-tool-server-boom/In eighteen months the offensive-security world went from a handful of AI experiments to seventy-plus tools, and the Model Context Protocol is the connective tissue. A look at how MCP tool-servers like pentest-ai and HexStrike are reshaping pentesting — and what defenders should take from it.Sun, 07 Jun 2026 00:00:00 GMTcybersecurityoffensive-securitymcpaipentestingred-teamhttps://1337skills.com/blog/2026-06-07-reinforcement-fine-tuning-agents-grpo-art-verl-openrlhf/https://1337skills.com/blog/2026-06-07-reinforcement-fine-tuning-agents-grpo-art-verl-openrlhf/Supervised fine-tuning teaches an agent what good answers look like; reinforcement learning teaches it to get good outcomes. A practical guide to training multi-step LLM agents with GRPO using ART, verl, and OpenRLHF — architectures, reward design, and when to use each.Sun, 07 Jun 2026 00:00:00 GMTllmreinforcement-learningfine-tuningaiagentsgrpohttps://1337skills.com/blog/2026-05-30-visual-ai-agent-builders-langflow-dify-n8n/https://1337skills.com/blog/2026-05-30-visual-ai-agent-builders-langflow-dify-n8n/Code-first agent frameworks get the headlines, but visual builders are how most teams actually ship LLM apps in 2026. A deep comparison of Langflow, Dify, and n8n — architecture, RAG, agents, deployment, and when to reach for each.Sat, 30 May 2026 00:00:00 GMTaiagentsraglow-codelangflowautomationhttps://1337skills.com/blog/2026-05-21-agentic-rag-architecture-patterns/https://1337skills.com/blog/2026-05-21-agentic-rag-architecture-patterns/Explore the evolution from naive RAG to agentic RAG architectures. Learn how to build autonomous retrieval systems with LangGraph, evaluate with RAGAS, and implement production patterns for reliable AI agents.Thu, 21 May 2026 00:00:00 GMTragai-agentslangchainllamaindexarchitectureaidevopshttps://1337skills.com/blog/2026-05-21-ebpf-production-profiling-guide/https://1337skills.com/blog/2026-05-21-ebpf-production-profiling-guide/Master eBPF-based production profiling with bpftrace, bcc-tools, and perf. Learn practical workflows for CPU analysis, latency tracing, memory leak detection, and I/O profiling in production Linux systems.Thu, 21 May 2026 00:00:00 GMTebpfperformanceprofilingsrelinuxobservabilitymonitoring-&-observabilityhttps://1337skills.com/blog/2026-05-21-llm-fine-tuning-framework-comparison/https://1337skills.com/blog/2026-05-21-llm-fine-tuning-framework-comparison/A comprehensive comparison of the four leading LLM fine-tuning frameworks in 2026. Benchmarks, architecture choices, and practical guidance for choosing the right tool for your training workload.Thu, 21 May 2026 00:00:00 GMTllmfine-tuningmachine-learningaideep-learningdevops