Pineflake

Tools articles

22 articles

  • Best Code Editors Compared A group of developers working together on laptops around a shared table

    VS Code, Cursor, Zed, Neovim, JetBrains, Sublime—the honest tradeoffs, a decision table, and how to pick the editor that actually fits your work.

    Dev Tools · 2026-10-28 · 13 min read

  • Best Self-Hosted Open Source Tools Close-up of Python source code displayed on a computer monitor, representing open-source developer tools

    The best self-hosted open source tools in 2026 by category: Git, automation, files, passwords, monitoring, docs—plus the real tradeoffs.

    Dev Tools · 2026-10-07 · 9 min read

  • Small vs Large Language Models Open laptop with a colorful sunset reflection on a dark surface, representing AI model computing

    Small vs large language models: the real tradeoffs in capability, cost, latency, and privacy—when a small model wins and how to decide.

    AI · 2026-09-19 · 9 min read

  • Local Development With Containers Developer working at a laptop in a bright workspace, representing local container-based development workflows

    Local development with containers: end "works on my machine," set up live-reload workflows with Docker and Compose, and avoid the pitfalls.

    Dev Tools · 2026-09-19 · 9 min read

  • AI Inference Cost Optimization Team collaborating around a laptop in a modern office, representing the engineering decisions behind optimizing AI inference costs

    AI inference cost optimization: the biggest levers—right-sizing the model, cutting tokens, caching, batching, and API vs self-host by volume.

    AI · 2026-09-02 · 9 min read

  • Self-Hosting AI Models Developer working at a laptop in a modern workspace, representing the engineers and infrastructure behind self-hosted AI models

    Self-hosting AI models: why and when to run open models on your own infrastructure, the serving stack, the real costs, and the mistakes to avoid.

    AI · 2026-09-02 · 10 min read

  • Running LLMs Locally Laptop displaying colorful code on a desk, representing local LLM development and running models on personal hardware

    Running LLMs locally: why do it, the tools (Ollama, LM Studio), the hardware and memory that decide what you can run, quantization, and cloud tradeoffs.

    AI · 2026-08-20 · 9 min read

  • Deploying LLMs in Production Modern server racks in a data center, representing the infrastructure required to deploy and operate LLMs in production

    Deploying LLMs in production: managed API vs self-host, right-sizing your model, inference with vLLM, scaling, cost control, and safety.

    AI · 2026-08-20 · 12 min read

  • Chain of Thought Prompting Guide Open notebook and pen on a desk, representing the step-by-step reasoning and worked examples used in chain-of-thought prompting

    Chain of thought prompting guide: what it is, why it works, zero-shot vs few-shot CoT, self-consistency, when to use it, and the honest caveats.

    AI · 2026-08-11 · 9 min read

  • Prompt Engineering Techniques Close-up of code on a computer screen, representing the structured instructions and developer workflows behind prompt engineering

    Prompt engineering techniques that work: being specific, giving context, few-shot examples, structured output, decomposition, and the mistakes to avoid.

    AI · 2026-08-11 · 8 min read

  • Evaluating AI Agent Reliability Data analytics dashboard showing performance metrics and charts on a dark screen, representing systematic evaluation of AI agent reliability

    Evaluating AI agent reliability: why it's hard, what to measure, trajectory vs outcome, benchmarks and tools, and the mistakes that give false confidence.

    AI · 2026-08-04 · 9 min read

  • Multi-Agent Systems Explained View from space of a glowing network of light connecting cities across Earth, representing multiple agents communicating and coordinating across a system

    Multi-agent systems explained: what they are, why split work across agents, the common architectures, how agents coordinate, and when a single agent wins.

    AI · 2026-08-04 · 10 min read

  • Tool Use in LLMs Explained Abstract glowing light trails forming a network pattern, representing an AI language model connecting to external tools and data sources

    Tool use in LLMs explained: the limits it overcomes, the kinds of tools, the reason-act loop behind agents, how to make it reliable, and common mistakes.

    AI · 2026-08-01 · 9 min read

  • Function Calling in LLMs Tutorial Abstract glowing neural network visualization representing an AI language model processing and routing function calls

    Function calling in LLMs tutorial: how the tool-call loop works, a worked code example, writing good tool definitions, and the pitfalls to avoid.

    AI · 2026-08-01 · 9 min read

  • No-Code Business Tools A laptop and notebook on a wooden desk showing a no-code app builder interface in bright natural light

    No-code business tools in 2026: the categories and best tools, the AI prompt-to-app shift, how to choose, honest tradeoffs, and when to outgrow them.

    Business · 2026-07-21 · 10 min read

  • NAS Setup Guide for Beginners Stack of hard drives showing the physical storage media used inside a NAS device

    NAS setup guide for beginners: what a NAS is, choosing hardware and drives, RAID explained, a step-by-step setup walkthrough, and why RAID isn't backup.

    Technology · 2026-07-09 · 10 min read

  • How SSDs Work Close-up of a solid-state drive (SSD) showing the flash memory chips and circuit board

    How SSDs work: how flash memory stores data, the controller that manages it, why cells wear out, SATA vs NVMe, and how to choose and care for one.

    Technology · 2026-07-06 · 9 min read

  • Best Budgeting Apps Compared A calculator, euro banknotes, and a tablet keyboard on a desk with printed budget charts

    Best budgeting apps compared: YNAB, Monarch, Copilot, Rocket Money and more—by budgeting style, price, and who each one is actually right for.

    Finance · 2026-06-15 · 8 min read

  • Evaluating RAG Quality Analytics dashboard charts representing evaluation metrics

    Evaluating RAG quality with the metrics that matter: retrieval vs generation scores, RAGAS, the RAG Triad, LLM-as-judge, and catching regressions.

    AI · 2026-06-02 · 9 min read

  • Reranking Retrieval Results Sorted data visualization representing reordered search results

    How reranking retrieval results sharpens RAG: cross-encoders vs bi-encoders, the two-stage pipeline, top reranker models, latency, and tuning.

    AI · 2026-06-02 · 9 min read

  • Chunking Strategies for RAG Lines of code on a screen representing text being segmented into chunks

    Chunking strategies for RAG compared: fixed, recursive, semantic, and contextual methods, plus chunk size, overlap, and the mistakes to avoid.

    AI · 2026-06-02 · 9 min read

  • Best Vector Databases for RAG Rows of database servers representing vector storage infrastructure

    Compare the best vector databases for RAG—Pinecone, Weaviate, Qdrant, Milvus, Chroma, pgvector, and Turbopuffer—on hosting, hybrid search, and cost.

    AI · 2026-06-01 · 11 min read