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Code-First AI Agents in 2026: Why Agents Are Learning to Write CodeJSON 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.13 min readOpen-Source Web App Scanning in 2026: ZAP, Nuclei, Wapiti, and the DAST StackNo 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.13 min readAI Agent Memory in 2026: Knowledge Graphs, Temporal Facts, and OS-Style PagingContext 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.13 min readThe State of LLM Inference Engines in 2026: vLLM, llama.cpp, Aphrodite, LMDeployThere 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.13 min readDocument Parsing for RAG in 2026: Why Ingestion Decides Retrieval QualityEvery 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.13 min readeBPF Runtime Security in 2026: Falco vs Tetragon vs TraceeUserspace 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.13 min readLLM Observability in 2026: Tracing, Evaluation, and the OpenTelemetry ShiftYou 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.13 min readModern Network Diagnostics from the Terminal: Trippy, doggo, and the New CLI ToolkitThe 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.13 min read

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