AllAI Models(3)Antigravity(2)Best Practices(7)Comparisons(15)Context Engineering(17)Copilot(4)Cost & Optimization(11)Cursor(6)Cursor First-Party vs(1)Features & Workflow(15)Language Specific(6)MCP 2026-07-28 Spec:(1)Token & Cost(19)Windsurf(3)

Token & Cost

Claude Code Real Cost Breakdown: API vs Pro vs Max — And How to Cut It in Half

A real-money breakdown of Claude Code API vs Pro vs Max plans, with benchmarked data on how to cut your bill in half without sacrificing output quality.

Nicola·Mar 13, 2026

Context Engineering

The Token Waste Problem: 80% of AI Coding Tokens Are Irrelevant

Most AI coding sessions waste 80%+ of tokens on irrelevant context. Here’s why it happens, how it hurts cost and quality, and how dependency graphs fix it.

Nicola·Mar 12, 2026

Features & Workflow

Claude Code Has No Session Memory — Here's How to Add It

Claude Code is stateless between sessions. Learn how to add scalable, code-linked session memory using CLAUDE.md and vexp.

Nicola·Mar 11, 2026

Context Engineering

Context Window Management for AI Coding: The Developer's Guide

Learn how AI context windows work, why long coding sessions degrade, and practical strategies and tools like vexp to keep Claude effective and costs low.

Nicola·Mar 10, 2026

Comparisons

Cursor vs Claude Code vs Copilot 2026: The Only Comparison You Need

A practical 2026 comparison of GitHub Copilot, Cursor, and Claude Code based on real production use, with a focus on context, agentic workflows, and pricing.

Nicola·Mar 9, 2026

Token & Cost

How to Reduce Claude Code Token Usage by 58% (Without Manual Context Management)

Use a dependency-graph MCP server (vexp) to feed Claude Code only structurally relevant context and cut token costs by ~58%—no prompt changes required.

Nicola·Mar 8, 2026

Context Engineering

What Is Context Engineering? Why It Matters More Than Prompt Engineering

Prompt engineering shapes intent; context engineering shapes what the model actually knows. For serious AI coding, context wins by a mile.

Nicola·Mar 7, 2026

Cost & Optimization

How to Cut AI Coding Assistant Costs by 58%: A Benchmarked Approach

A controlled benchmark on a real FastAPI app shows dependency-graph context cuts Claude Code costs by 58%, speeds tasks up 22%, and shrinks output tokens 63%.

Nicola·Mar 6, 2026

Context Engineering

Session Memory for AI Coding Agents: Why Your Agent Forgets

Why current AI coding agents forget your codebase between sessions, and how vexp’s session memory, staleness tracking, and cross-agent graph fix it.

Nicola·Mar 5, 2026