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The "Stateless" AI Era is a Massive Engineering Tax

Persistent memory for 17,000+ models via MLH

We have spent a decade watching hackers grind through the same 48-hour cycle at MLH: build something brilliant, realize it has the memory of a goldfish, and then watch it break the second a user tries to do something complex. It is a mess. We keep pretending that stateless prompts are enough. They aren't.

We are tired of seeing great projects die because the "plumbing"—the session logic, the vector database, the state management—swallows 80% of the weekend. It is an engineering tax that student developers should not have to pay.

State Management and AI Memory for Developers

Did you know the "stateless" AI era is actually a huge bottleneck? Most builders are just stitching together fragments of history and hoping the LLM doesn't lose the thread. It is fragile. We have realized that to move past simple chat wrappers, you have to start with the memory. You should not have to rebuild your entire logic layer just because you want to switch from GPT-4o to Claude.

Integrating Backboard.io: The Stateful API for AI Applications

MLH is bringing Backboard.io into our ecosystem for the next 12 months. Backboard.io is a stateful API and the #1 ranked platform for AI memory on LoCoMo and LongMemEval. It acts as the persistent brain for your application, handling RAG workflows and tool calls through one integration — with support for 17,000+ models, built-in model routing, and bring-your-own-API-key so your entire existing stack becomes instantly stateful. This lets you scale a prototype into a production-ready agent without a complete rewrite of your foundation.

MLH x Backboard.io Partnership Benefits and Hackathon Access

We are making this a new standard for the MLH community. Starting April 10th at Global Hack Week, and across 50 events this year, we are giving every MLH builder free state management for life and the dev credits needed to actually ship.

We want to see what happens when you stop worrying about how your app will remember a user and start focusing on what the app actually does. If you are building at an MLH event this year, look for the "Best Use of Backboard.io" category.

Don't build another forgetful app. It is a waste of your time.

Top comments (7)

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francistrdev profile image
FrancisTRᴅᴇᴠ (っ◔◡◔)っ

Quite an interesting API integration to MLH! Can't wait to see how it goes!

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jon_at_backboardio profile image
Jonathan Murray

We thought the friendship was a no brainer 😀

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francistrdev profile image
FrancisTRᴅᴇᴠ (っ◔◡◔)っ

You guys certainly made a great choice indeed! Congrats Jonathan :D

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harsh2644 profile image
Harsh

Engineering tax is the perfect phrase for this.

Every team building AI agents solves memory and state management from scratch. The first 80% feels productive. The last 20% making it actually work reliably is where the tax shows up. And it shows up the same way for everyone.

What frustrates me isn't that it's hard. It's that we're all solving it separately.

What do you think is the biggest blocker to a shared solution? Technical? Or just no industry consensus on what memory should look like?

Great piece. This conversation needs to happen more. 🙌

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robimbeault profile image
Robert Imbeault

Can't wait to see what these builders do with it! Let's go!

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shishir_shukla profile image
Shishir Shukla

Great news.

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jon_at_backboardio profile image
Jonathan Murray

woo woo!