AI & Software Guides for Developers
Practical guides for building with AI tools & software
How-to tutorials, troubleshooting fixes, and plain-language explainers on AI and software development, each linked to the official documentation behind it.
Eren Şimşir
Computer Engineer & Industrial Engineer (Double Major) | M.Sc. Student in AI
Three guides worth opening first
The newest guides on the site, each linked to the official documentation it relies on.
How to Fix Slow Vector Search Queries in pgvector: Optimizing HNSW Index Performance
Why pgvector queries get slow, measured on 100,000 vectors: skipped indexes, ef_search, filtered queries returning too few rows, and slow HNSW builds.
Which JSON Schema Keywords Gemini Structured Output Accepts, Tested
Tested on the Gemini API: which JSON Schema keywords return HTTP 400, which are accepted but ignored, and what to validate in your own code.
Fix Gemini API Timeouts: SDK Units, Model IDs and Proxy Limits
Gemini API timeout fixes checked against the SDK source and live calls: the timeout is in milliseconds, plus model IDs, proxy limits and latency.
Find the kind of help you need
Fixing an error, learning how something works, or building a specific thing: every guide sits in one of these sections.
How-To Guides
7 guidesStep-by-step how-to guides for putting AI and software to work, covering automation, prompt engineering, and no-code builds.
- Semantic Caching for LLM Requests: Similarity Thresholds, Measured
- How to Deploy a Machine Learning Model to Production: A Practical Guide
- How to Implement Stripe Billing in a Next.js 15 App for SaaS Subscriptions
Troubleshooting
13 guidesFixes for the AI and software errors developers search for — API timeouts, database and framework errors, and local-model setup problems.
- How to Fix Slow Vector Search Queries in pgvector: Optimizing HNSW Index Performance
- Which JSON Schema Keywords Gemini Structured Output Accepts, Tested
- Fix Gemini API Timeouts: SDK Units, Model IDs and Proxy Limits
AI Concepts Explained
5 guidesPlain-language explainers for the AI and software terms, techniques, and mechanisms people search to understand — not just what to buy.
- What Is Key-Value (KV) Caching in LLMs and How Does It Speed Up Inference?
- What Is LoRA (Low-Rank Adaptation)? How It Makes LLM Fine-Tuning Affordable in 2026
- What Is a System Prompt? How It Shapes Every AI Conversation
How every guide is built
Run first, written up second
Where code or a setup can be tried, the guide shows what actually happened. Where it could not be run, the guide says so instead of implying it was.
Sources you can open
Every guide links to the official documentation behind its claims, so you can check a detail against the vendor's own page rather than taking our word for it.
Limits stated up front
Versions, assumptions and known gaps are written into the guide. If a tool changes, the guide is revised, and the standards behind that are public on the Editorial Standards page.
Which JSON Schema Keywords Gemini Structured Output Accepts, Tested
Tested on the Gemini API: which JSON Schema keywords return HTTP 400, which are accepted but ignored, and what to validate in your own code.
Fix Gemini API Timeouts: SDK Units, Model IDs and Proxy Limits
Gemini API timeout fixes checked against the SDK source and live calls: the timeout is in milliseconds, plus model IDs, proxy limits and latency.
How to Fix Vector Dimension Mismatch Errors in pgvector and Pinecone
Fix vector dimension mismatch errors in pgvector and Pinecone after changing embedding models, and keep index and column sizes aligned.
How to Fix CORS Errors When Connecting Next.js 15 to a FastAPI AI Backend
Fix CORS errors between a Next.js 15 frontend and a FastAPI AI backend with backend middleware or Next.js rewrites.
Semantic Caching for LLM Requests: Similarity Thresholds, Measured
Semantic cache thresholds measured on 40 questions with two Gemini embedding models: why 0.92 almost never hits and which near-misses fool a cache.
What Is Key-Value (KV) Caching in LLMs and How Does It Speed Up Inference?
How key-value caching lets an LLM reuse earlier attention computations while generating, and what that does for latency and memory.
Pydantic V2 Validation Errors in LLM JSON Output: What Each Means, Tested
Pydantic V2 validation errors on LLM JSON, reproduced one by one: missing, extra_forbidden, int_type, json_invalid and what causes each.
How to Deploy a Machine Learning Model to Production: A Practical Guide
Train a simple model, package it in Docker and serve predictions from a FastAPI endpoint, step by step with code.
How to Implement Stripe Billing in a Next.js 15 App for SaaS Subscriptions
Add Stripe subscriptions to a Next.js 15 app: Checkout, the customer portal and webhook signature verification with the App Router.
How to Fix Ollama 'Connection Refused' Errors in Cursor and VS Code
Fix Ollama 'Connection Refused' errors in Cursor and VS Code: check the server is running, resolve port 11434 conflicts, and set OLLAMA_HOST.
How to Fix Docker 'No Space Left on Device' Errors When Downloading Ollama Models
Free disk space when Docker reports 'No space left on device' while pulling Ollama models: prune the build cache and resize the VM disk.
How to Fix 'Hydration Failed' Errors in Next.js 15 and React 19
Find what causes 'Hydration Failed' errors in Next.js 15 and React 19 and fix the mismatch between server and client rendering.
How to Fix 'TypeError: Failed to Fetch' in Next.js Server Actions
Debug 'TypeError: Failed to fetch' in Next.js Server Actions: origins, middleware, timeouts and deployment skew, with a Next.js 16.4 test.
What Is LoRA (Low-Rank Adaptation)? How It Makes LLM Fine-Tuning Affordable in 2026
How LoRA (Low-Rank Adaptation) cuts the memory and storage needed to fine-tune an LLM, how adapters work, and how to set it up in practice.
How to Implement Unit Testing for AI Agents Using Python and Pytest
Unit test AI agents in Python with Pytest by mocking the LLM and asserting on agent behavior, and keep LLM-judged tests in a separate suite.
Parse Invoices With Gemini and Pydantic: A Tested Python Script
A Python invoice parser using Gemini structured output and Pydantic, tested on four invoice variants with known values: accuracy, speed, and a fix.
What Is a System Prompt? How It Shapes Every AI Conversation
Demystifying what is a system prompt and how it shapes every AI conversation. Learn how to configure these foundational instructions to build better AI apps.
What Is a Context Window in AI Models? A Plain-Language Explainer
What a context window is, how token limits shape an LLM's memory, and how input size affects cost and prompt design.