Product Hunt is obsessed with "Fast" today. How fast can it generate a website? How fast can it write a SQL query?

But ask any founder or senior engineer: What is the most expensive thing in software? It isn't writing code. It's fixing code.

We realized the industry is optimizing for the wrong metric. Current AI tools (Chatbots) are like hyper-active interns. They type at 1,000 words per minute, but they make mistakes that take days to debug. They prioritize Output over Outcome.

We built Dropstone to be the "Adult in the Room."

If you just glance at the homepage today, you d think the biggest innovation in tech is a "Year in Code" wrapper.

• At #3: GitHub Wrapped. (Vanity metrics).

• At #1: A generalist workflow tool.

But sitting quietly at #5 is arguably the most significant architectural shift in AI coding we've seen this year.

I ve been digging into the "Launch" list, and Dropstone is the only tool that isn't optimizing for "Velocity" (Speed). They are optimizing for Physics.

Today, Google dropped Gemini 3 and "Antigravity," and the raw reasoning power is incredible. It s a massive leap for AI.

But it reinforced exactly why we built Dropstone AI.

Every AI coding tool today suffers from the same flaw amnesia.
It forgets what you ve done, what you re building, and how you think.

We built Dropstone because we were tired of starting from zero every time we opened an AI coding tool.

Dropstone learns, remembers, and evolves with your projects building a persistent understanding of your codebase, architecture, and workflow. It s designed to grow with you, not reset after every session.

We ve just launched it on Product Hunt and would love your thoughts on how memory should shape the next generation of developer tools. Your feedback will help us refine what s coming next.

We ve officially benchmarked Dropstone against the AGCI Benchmark a framework designed to evaluate adaptive and long-term cognitive intelligence in artificial systems.

Unlike traditional reasoning tests, AGCI measures how well systems learn, remember, and reason across sessions essentially assessing continuity, adaptability, and persistent understanding.

Dropstone isn t just an AI coding tool it s a self-learning system that builds a memory of you.
The new Memory Dashboard shows how your workspace is understood internally every conversation, insight, and iteration becomes part of its evolving neural network.

You can now visualize how Dropstone s memory grows across four types:

• Episodic experiences from your sessions

• Semantic technical and conceptual knowledge

• Procedural learned workflows and patterns

• Associative cross-context understanding

Here s how Dropstone visualizes memory in real time