Why we built Dropstone — the AI IDE that remembers
by•
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 to change that. Powered by our new D2 Engine, it learns, remembers, and evolves with your code. It doesn’t just autocomplete; it understands.
We’re about to launch soon, and I’d love to hear your thoughts:
What frustrates you most about current AI coding tools?
How do you imagine an AI that truly remembers could change your workflow?
Let’s start a discussion — the future of AI development might just begin here.
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Replies
Bababot
Having an AI that actually learns from my past code sounds like what I’ve been missing. My workflow often breaks when context resets between sessions. Dropstone remembering structure, logic, and naming conventions could save a lot of mental load.
Dropstone
@aarav_pittman Exactly. That’s the gap we set out to close. Memory is the missing piece in AI-assisted development — without it, every session starts from zero. Dropstone learns and evolves with your codebase, so you can finally build with continuity instead of context resets.
Serand
The concept of memory in an IDE really caught my attention. I spend hours re-explaining the same logic to different tools. If Dropstone can recall how my system works, it’ll make AI coding feel less like typing prompts and more like collaborating.
Dropstone
@maali_baali That’s exactly the experience we’re creating. AI coding shouldn’t feel like starting from scratch every time — it should feel like working with a teammate who already understands your system. Dropstone’s memory is built to make that collaboration real.
Premarket Bell
What frustrates me most about AI tools right now is that they never retain context. My projects are complex, and losing continuity slow everything down. A tool that evolves with my code could make a real difference.
Dropstone
@daniel_henry4 You captured the core issue perfectly — context loss is what breaks the flow of modern development. Dropstone was built to end that cycle. It learns, adapts, and evolves with your codebase, so your progress never resets.
Dropstone
@adamvisu Dropstone is built as a growing intelligence rather than a static assistant. A CLAUDE.md file remains fixed, but Dropstone evolves with every interaction by remembering decisions, architecture choices, errors, patterns, and your personal workflow. Its multi-layer memory allows it to retain reasoning steps, track past attempts, avoid repeated mistakes, continue research over time, and refine its approach without modifying model weights. Static instructions guide an AI once, while Dropstone strengthens its understanding with each session. This long-term continuity contributed to its 37.8 percent result on the AGCI benchmark, available at https://www.dropstone.io/research/agci-benchmark. We’re also preparing a detailed video that walks through the entire system, so stick around and you’ll see exactly how it works and why it’s useful.