Migrating to @google/genai: Seven Errors That Will Eat Your Afternoon
A field-tested guide to the seven errors you are most likely to hit when migrating from @google/generative-ai to @google/genai, with copy-paste fixes for Node.js and TypeScript codebases.
Stop Gemini From Phoning In the Last Few Paragraphs — Prompt Patterns That Hold Density to the End
When Gemini writes long pieces, the final paragraphs often go thin. A solo creator's three-layer routine — pre-declared footer, staged generation, verifier agent — to keep density consistent from start to finish.
Teaching Gemini Your Own Writing Voice: Prompt Design for Solo Creators, and How to Avoid Overfit
Letting AI write for me always produced text that sounded like 'someone else.' Here's how I taught Gemini to keep my voice across articles, plus how I avoid the surprising overfit problem when you feed it too many samples.
When Gemini Deep Research Returns Shallow Reports or Gets Stuck — A Practical Troubleshooting Guide
Why Gemini Deep Research sometimes produces thin reports or fails midway, and how to fix it through plan editing, source distribution, and PDF citation tuning.
Designing a Daily Reading Practice With Gemini as Your Reading Partner
How to use Gemini at a closer distance than 'researcher' — as a daily reading assistant. The operating model I have settled into for cross-domain reading as a solo developer and artist.
9 Patterns for Automating Daily Work with Gemini Gems — Turning Custom Instructions Into Real Tools
Built a few Gems but only end up using one or two? You're not alone. Here are nine patterns that share what actually-used Gems have in common, with the custom-instruction shape for each.
Build an Auto-Documentation Pipeline with Gemini API and GitHub Actions
Tired of outdated docstrings and READMEs? This guide shows you how to build a CI pipeline that uses Gemini API and GitHub Actions to automatically suggest documentation updates on every Pull Request.
Gemini vs Claude: An Honest Developer's Review After Using Both Daily (2026)
Not which AI is better — but how they differ in practice. A comparison from someone who uses both Gemini and Claude daily for indie development work, with a task-by-task decision table and a real example of moving one job across both.
Building an AI Document Assistant with Gemini 2.5 Pro — Analyze PDFs, Images & Text to Auto-Generate Markdown Reports
Learn how to use Gemini 2.5 Pro's File API and multimodal capabilities to batch-analyze PDFs, images, and text files, automatically generating structured Markdown reports. Includes complete, runnable Python code.
Gemini 2.5 Pro vs 2.0 Flash — Picking a Default Model for Solo Development
A hands-on comparison of Gemini 2.5 Pro and 2.0 Flash from a solo developer's view: where accuracy actually diverged on structured extraction, latency and per-request cost, and the Flash-by-default, Pro-where-it-matters routing I settled on.
Gemini API Embeddings vs Vector Databases: Pinecone, Qdrant, pgvector, and Cloud Spanner Compared for Production
Benchmark Pinecone, Qdrant, pgvector, and Cloud Spanner Vector using Gemini text-embedding-004 with real latency, cost, and code. The definitive production selection guide.
Integrating Gemini Code Assist into VS Code
Most VS Code developers use Gemini Code Assist with default settings. Learn prompt engineering, context caching, and proper configuration to triple your coding speed.