Practical Guides

How-To Guides

Step-by-step guides on embeddings, AI tools, and code intelligence. Practical, complete, no fluff.

Clip Guide

How to Turn a Reading Backlog Into a Knowledge System You Actually Use

Capture, resurface, and synthesize what you save, so your reading compounds instead of piling up.

Clip Guide

What a Read-Later App Should Actually Do in 2026

The bar moved from storing articles to retrieving them. Here are the capabilities that actually matter now.

Clip Guide

Getting Started with Clip: Your First 24 Hours

Your workflow begins with the browser extension. This tool acts as your capture mechanism. It runs quietly in the background and…

Clip Guide

How to Build a Reading Habit That Actually Sticks

Most people treat reading like a hobby they start in January and abandon by February. They save articles for later. They read on…

Clip Guide

How to Build a Research Workflow with Clip

How to Build a Research Workflow with Clip

Clip Guide

How to Triage 200 Saved Articles in 30 Minutes

You have a folder full of saved articles. Some are from last month. Some are from two years ago. You saved them because they…

Clip Guide

Import Your Pocket Library into Clip

Migrating your reading list from Pocket to Clip is a straightforward process. Many users face this need because Pocket changed…

Clip Guide

Import Your Omnivore Library into Clip

Omnivore is shutting down. If you rely on that library, you need to move your data immediately. This guide walks you through…

Clip Guide

Import Chrome, Safari, or Firefox Bookmarks into Clip

Your browser bookmarks are likely gathering digital dust. They sit in folders you never open while your actual reading list…

Clip Guide

Sync Clip with Your Obsidian Vault

You already use Obsidian as your second brain. You store notes in a local Markdown repository. You rely on backlinks and graphs…

Practical Guide ~15 min listen

How to Discover Connections in Your Reading Library with Clip

Using the knowledge graph to find clusters, navigate ideas, and uncover what your reading is really about

A step-by-step guide to using Clip's knowledge graph — from building your first library to reading the graph and acting on what you find.

ClipKnowledge GraphProductivity
Practical Guide ~47 pages

Getting Started with the Pyckle Embeddings API

Zero to First Request in 10 Minutes

Complete quickstart: getting a key (free via MCPize, Pro via direct checkout), first request in Python/Node.js/cURL, batch embedding, rate limit handling, async indexing, cosine similarity, and full API reference.

EmbeddingsAPIQuickstart
Practical Guide ~43 pages

How to Migrate from OpenAI Embeddings to Pyckle

Drop-in Replacement for Code Search - LangChain, LlamaIndex, ChromaDB, Pinecone, Qdrant, Weaviate

Why migrate (L1 query gap), compatibility notes, re-index time estimation, migration code for httpx/LangChain/LlamaIndex, vector store migration for ChromaDB/Pinecone/Qdrant/Weaviate, validation query set, and rollback plan.

MigrationEmbeddingsOpenAI
Practical Guide ~46 pages

How to Build Production Embedding Pipelines

Infrastructure, Latency, and Reliability for Teams That Can't Afford to Guess

Most embedding pipeline tutorials end where the hard problems begin. They show you how to call `model.encode()`, store the result in a list, and retrieve the top-k nearest neighbors — then declare vic...

EmbeddingsAIDev Tools
Practical Guide ~39 pages

How to Build Semantic Search for Your Codebase

From Raw Code to Meaning-Based Retrieval

This book exists because every sufficiently large codebase eventually becomes hostile to the people who work in it. Not because the code is bad — it might be excellent — but because the mechanisms we...

AIDev ToolsProductivity
Practical Guide ~40 pages

How to Cut Your LLM Bill in Half

Token Optimization, Caching, and Routing Strategies That Work

Most teams discover their LLM costs are out of control the same way: the billing alert fires, someone opens the dashboard, and the number staring back at them is three to five times what anyone expect...

AIDev ToolsProductivity
Practical Guide ~51 pages

How to Evaluate and Select an Embedding Model

The Benchmark Results Are Lying to You — Here's How to Find the Truth

A practical guide to evaluating embedding models on your own data — covering eval methodology, benchmark interpretation, model comparison, cost-quality tradeoffs, and the fine-tuned vs. general decision.

EmbeddingsAIDev Tools
Practical Guide ~46 pages

How to Manage Context Windows Effectively

What Goes In, What Stays Out, and Why It Matters

Every senior developer eventually hits the same wall. You've been running a long session with an LLM — code review, refactor, architecture discussion. The responses start drifting. The model loses tra...

AIDev ToolsProductivity
Practical Guide ~46 pages

How to Navigate a Large Codebase with AI

From Lost to Located in Any Codebase

The first day on a large codebase is one of the most disorienting experiences in software development. You have a repository with tens of thousands of files, a thousand commits, scattered documentatio...

AIDev ToolsProductivity
Practical Guide ~46 pages

How to Onboard Engineers with AI Tools

Cut Ramp Time Without Cutting Corners

The average time for a software engineer to reach full productivity at a new company is between three and six months. At a senior level, it can stretch longer — the more complex the codebase, the more...

AIDev ToolsProductivity
Practical Guide ~42 pages

How to Use AI for Code Review

A Practical Playbook for Faster, Higher-Quality Reviews

Code review is one of the highest-leverage activities in software development. It's also one of the most inconsistent. The same pull request reviewed by two different engineers can yield wildly differ...

AIDev ToolsProductivity

Browse all How-To guides