AI coding tools are brilliant at generating code. They're blind when it comes to understanding your codebase.
They can't tell you who calls a function. They don't know what breaks if you change something. They have no idea how your team actually writes code. Every session, they start from scratch: grep, read files, guess, burn tokens.
Hey makers! I've been building with Claude Code for months and one thing keeps bugging me. Every time it needs to understand your codebase, it greps around, reads files one by one, and pieces things together blind. It works, but it's slow and sometimes misses the bigger picture.
I know the space is crowded. There are plenty of tools tackling this now and I've tested most of them. Graphify, Gortex, code-review-graph, tokensave, Repomix, Drift, codebase-memory-mcp... My daily driver before this was GrepAI. They all do useful things.
A few years ago, getting a VC check was the ultimate shortcut. The fastest way to scale. The signal that you'd "made it." But with AI is a little bit different.
Global VC funding declined 30% in Q1 2024. One of the lowest quarters since 2018. And bootstrapped startups are quietly catching up. Recent data shows bootstrapped businesses are growing as fast as VC-backed startups, while spending only about one-quarter as much on customer acquisition.
