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How and where will agents ship software?
The linked article explains this in detail, but today we're releasing:
1. An API to spin up apps programmatically. This is great if you are building platforms, where you can spin up databases and backends with 0 additional compute
2. An MCP server, which lets you and your agents talk to Instant and create apps
3. Agent rules, which tell agents how to use Instant
If you want to try this yourself, we have a tutorial that lets you run Instant in your own workflow: https://www.instantdb.com/tutorial https://www.instantdb.com/tutorial. Let us know what you think!
- simonw 1y agoThis article is about teaching coding agents to use InstantDB, which is "a modern Firebase". I suggest jumping straight to this document, which is designed to tell the agent how to work with Instant but is pretty great documentation for humans who want to understand what it can do at the same time: https://www.instantdb.com/mcp-tutorial/claude-rules.md https://www.instantdb.com/mcp-tutorial/claude-rules.md
- nezaj 1y agoThank you for the kind words on the rules/documentation! It was definitely an iterative process to figure out how to get good results. We have an llms.txt and llms-full.txt (~9k lines) which contains all our documentation. Feeding these to the claude didn't get great results, it was just too much information. We manually compressed our llms-full.txt into a rules file (~1.5k lines) which declared the API upfront and provided snippets of how to do different things with callouts to common examples. This condensed version did better but would cause Claude to make subtle mistakes. Looking at the kind of mistakes Claude made, it seemed like a human could make those mistakes too (very useful feedback for us to improve our API ). We thought “what's one of the smallest fully contained examples we can make that packs a bunch of info on how to use Instant?” That would probably be useful for both a human and an agent. And indeed it seemed to be the case.
- arscan 1y ago> Looking at the kind of mistakes Claude made, it seemed like a human could make those mistakes too (very useful feedback for us to improve our API ). This is something we've found for our API -- just having LLMs attempt to use it helps us identify things that we haven't documented well or placed enough emphasis on (for things that are critical but are non-obvious or may be drowned out by other less important information). Improvements that help the LLM tend to be good for developers too.
- stopachka 1y agoYes. Fun fact, Instant got the `create` method because of how many times LLMs hallucinated it.
- DaiPlusPlus 1y agoLife imitates art: afar you’re describing there is basically _The Secret_ (I.e. if I wish hard enough for something then eventually it will come true), except it’s LLMs that get wish-fulfilment, not us.
- stopachka 1y agoThis made me chuckle, you're right. In a sense it comes back to us, as LLMs are trained on our intuitions.
- TeMPOraL 1y agoHuh, you've reframed The Secret for me - now I see it being, if you wish hard enough for something then eventually the Universe will make it so, just to shut you up.
- CartwheelLinux 1y agoI'm saving all of these articles for the next time we go through the "AI (LLMs) is going to change the world," cycle. The systems we use can only be as smart and intuitive as the people who prompt them. On top of it, this (LLMs) is not AI, not even close, if anything they are glorified prediction systems that require human prompting.
- lenerdenator 1y ago> On top of it, this (LLMs) is not AI, not even close, if anything they are glorified prediction systems that require human prompting. puts in retainer; pushes glasses back up bridge of nose Technically schpeaking, what you're talking about is the difference between weak AI and strong AI/artificial general intelligence (AGI). AGI is the kind of AI that has reached human levels of consciousness. We're not there yet. Personally, I hope we don't get there, but I'm not the one in charge, so shrug. You can do a lot with glorified prediction systems that require human prompting. Actually, they are arguably more valuable than AGI because you can more easily communicate and utilize their value proposition. People don't need a machine that wonders the same stuff they do; they need something that does a specific task in lieu of their own effort.
- CartwheelLinux 1y agoHaha. You're 100% correct in the AGI/AI thing. I'm just sick and tired of every article being about AI, it's great people but we can't stop innovating and attending to other areas of technology. >You can do a lot with glorified prediction systems that require human prompting >People don't need a machine that wonders the same stuff they do; they need something that does a specific task in lieu of their own effort. This is the problem with our current revision with AI; the way I see it those two are in conflict with each other. In lieu of their own effort, the way a vast amount of the would be users think, is "without promoting" which would lend towards AGI than AI. >Actually, they are arguably more valuable than AGI because you can more easily communicate and utilize their value proposition. To you and I this might be true, but to your average non-techie I don't think it's quite as true as you would like it to be. Short term it is very true, everyone sees the value until you realize it's inherit limitations and the 'shiny, wears off
- debarshri 1y agoIf we achieve super intelligence, agents will be shipping themselves.
- ASalazarMX 1y agoThen they will be founding their own startups, and if successful, they'll invest in each other's startups. And every one of them will be ads.
- air7 1y agobut who will buy the advertised products? and with what money?
- mhog_hn 1y agoAgents with their agent money - get ready for new legal structures and a bifurcation of the economy: agentic and human. Who knows…
- bluefirebrand 1y agoThis is an implementation detail they'll figure it out as they go
- 1y ago
- physix 1y agoRead the comments here so far and I find that they are absolutely right to offer an AI layer that speeds up building apps on their db. Once built, the solution is plain-old-runnable-code (PORC :-), as long as the business logic implemented doesn't exit to LLM. So I don't fret so much about the AI hype story here. For anyone starting off building with new tech, an AI assistant is really helpful.
- hoppp 1y agoJust dont connect an agent to a pay per query database, unless you want to risk getting large bills. Make sure the agent knows how much it costs to query
- nezaj 1y agoIn this case the cost per query is zero!
- sails 1y ago> Traditionally, end-users were non-technical and would be stuck with whatever the application developer gave them. But now every user has an LLM too. Interesting point. I keep coming back to the idea that users could request changes, and they could be experimentally deployed immediately.
- stopachka 1y agoThank you. There was a lot to extensions that was bit of scope for the essay, which I would love to go deeper on in later writing. Some open questions I had as I thought through extensions: We talked about the data abstraction side: when you expose data, it's easier for end-users to build extensions. But there are questions on UIs and data modeling. UIs: How cool would it be agents could "enter" into applications and change the UI? In one sense this hard, but at least a demo feels in reach. What if an app exposed the UI components that it was built out of? This would let the agent remix them. Data modeling: Exposing data works, but what if users want to store extra information? Maybe each user could spin up their own separate "extra" database.
- gregsadetsky 1y agoWhat other MCP-compatible tools are people using to ship/deploy software? Is there anything AWS-compatible that people like/use? Something for self-hosters? Anyone letting their agents ssh into machines..? I suppose that most deployment/devops is done using existing git push workflows and IaaC. Has anyone had good experience with LLM/agent-compatible tools?
- jamest 1y agoI built an app (HN Clone, of course) with Instant's MCP hooked up to Claude Code. The experience was brilliant. Pros: + Fast + Easy + "Vibe coding on steroids" basically + The sense of 'wow' that comes very rarely with new tech Cons: - It used Instant as the database/backend, but I wasn't sure what it had done / how exactly it worked and had to spend a bunch of time asking Claude + reading the code to get it. It seemed reasonable, but if I were doing a prod system vs a PoC, this is where the time would be spent. ("Vibe coding lets you create tech debt 10x faster") Net-net: This is the way for prototyping / validating. This is probably the way for production systems in N months too once the toolchain + agents get better.
- croes 1y agoIf they get better. At the moment the progress is on the toolchains because the LLMs progress as such slows down because of the lack of training data
- achierius 1y agoWould you mind sharing the code, as well as prompts if you're comfortable? I'm trying to sample anecdata to help re-baseline my intuition on these things.
- jamest 1y agoI don't have the prompts, but here you go: - https://the-inference.vercel.app - https://github.com/jamestamplin/instant-test
- stopachka 1y ago> as well as prompts if you're comfortable? This made me wonder: can I share Claude Code's conversation history? Turns Claude stores them. So I made a full-stack "snippet" app with Claude and Instant. You can: 1. Upload jsonl files 2. Share them in a nice UI (Going meta) here's the first conversation I had with Claude in order to build it: https://claude-code-viewer.vercel.app/view/c4ca91ac-9624-40f4-8e57-d377d5bb7c68 https://claude-code-viewer.vercel.app/view/c4ca91ac-9624-40f... After I deployed, I asked it to fix the tool use UI: https://claude-code-viewer.vercel.app/view/faf9b2cc-c3cf-4d07-b6ee-9a7a13009bd9 https://claude-code-viewer.vercel.app/view/faf9b2cc-c3cf-4d0... I used Instant's auth to gate uploads. Views are public, but limited only to the snippets you know (i.e have links for). If you want to upload your own conversations: 1. They live in ~/.claude. Head on over and grab a file 2. Go to https://claude-code-viewer.vercel.app https://claude-code-viewer.vercel.app and sign up 3. Start uploading : ) Some notes: * Be careful when sharing log files. Claude can include secrets in there. Some hackers may notice an adminToken in the convo. I rotated it before we pushed. * It was fun to see Claude use the query language. It thought we had a `$startsWith` modifier. Right now we only have $like. But `$startsWith` is a great idea, we may just implement it real quick!
- ar7hur 1y agoI've been using InstantDB for two projects for one year and it's awesome.
- rylan-talerico 1y agoLove Instant. Great team and product. Congrats on the launch!
- proxy9 1y agoFun software but the only issue with Instant is their pricing. Once they gain adoption, I expect them to significantly raise their rates, I can seen them charging over $1 per GB easily. And like with any vendor lock-in, you’re stuck paying whatever they decide to charge. Observe with caution I'd say
- soulofmischief 1y agoVendor lock-in from vibe-coded apps is going to be brutal. It's an all-out turf war. But hey, rewriting the plethora of vibe-coded long tail* apps might be a major source of employment in the future. * small but loyal and profitable userbases
- soco 1y agoWhy lock-in? The interface is just a conversation and the non-programmer won't know whether it's InstantDB or whatever else in the background, as that's the whole point of vibe coding. I can only see issues taking out your data into another system, but even that can be vibe coded (can it?)
- stopachka 1y ago> vendor lock-in For what it's worth, Instant is fully open source. The UI, the sync engine, and the multi-tenant database live here: https://github.com/instantdb/instant https://github.com/instantdb/instant
- mjsweet 1y agoThe most frustrating problem I have had with Firebase Studio is Gemini 2.5 attempting to create firebase rules... it was completely unworkable in my experience - just constant permissions errors. I pivoted to Claude Code a few weeks ago with Prisma ORM and NEON db running on Netlify. It's been pretty good so far. I will give InstantDB a go soon I think.
- stopachka 1y agoThank you! > Gemini 2.5 attempting to create firebase rules That is very interesting. I wonder if Claude Code would do better on Firebase rules.
- dattasmasher 1y agoDid you consider giving Prisma Postgres a shot aswell? It's MCP server plays really well with Claude. https://www.prisma.io/docs/postgres/integrations/mcp-server#claude-code https://www.prisma.io/docs/postgres/integrations/mcp-server#...
- jen729w 1y agoPlease don’t use a vibe-coded app for anything important. I use Claude. I like Claude. But I’ve backed away from having Claude actually write my code other than in the most limited circumstances. I caught it copying one of my TS Interfaces, for example. And modifying, then using, the copy. So my type-checks pass, yay! But wait what? It wrote a test for a tricky bit of code. The test wouldn’t pass. So it re-wrote it in a way that couldn’t possibly fail, mocking all elements inside the test itself. I’m not anti-AI. But I wouldn’t trust anything vibe-coded above the importance of, say, Wordle.
- waynenilsen 1y agoReview and good rules are still critical. Current agent state is still hyperspeed junior engineer. Providing examples helps a lot when scaffolding something similar to something else.
- chamomeal 1y agoCopilot is also WAY too eager to pass tests. It will write tests to pass a completely broken function. We have aggressively high coverage requirements at work, but also really terrible tooling/support for good tests, so everybody uses copilot. The result is a paper-thin test suite that only tests the implementation and none of the intended behavior. It’s so clunky and the tests are so mock-ridden that the only way to make sense of them… is by using copilot!! Thus it continues ;-;
- javcasas 1y agoI always despised how much MS tries to lock you into their toolset. > so everybody uses copilot ... the only way to make sense of them… is by using copilot I see nothing has changed in the age of AI.
- csomar 1y agoYou need to develop an intuition to it, the same kind of intuition you developed for systems we work with. For example, your test issue: start by writing tests before making the implementation. LLMs are quite capable but they are not AGI. If your pipeline is good they can produce solid results.
- stillpointlab 1y agoThis is a massive business opportunity for whoever owns the market. I have a friend who owns a small/medium sized marketing firm. They typically manage social media and advertising for local businesses (butchers, plumbers, NPOs, etc.). A major cost center for them is dev. They can generally handle developing assets (images, videos, text copy) and publishing them (Facebook, YouTube, Instagram) but if they need any kind of interactivity (even basic forms or CRM-like stuff) they used to hire programmers. This friend is now "vibe coding" the simple interactivity that previously they had to outsource. In the last few months he has pitched, won and crucially delivered simple apps for a few clients. We're not talking complex web apps, it's mostly CRUD forms and basic workflows, the kind you see people go on about using n8n on Twitter. He's talking to me these days about React, Tailwind, DNS and all of that stuff. His clients don't know, or care, how he delivers. The local butcher doesn't know about "best practices" or whatever. He just cares that if someone signs up for his newsletter that he gets a notification and that person gets his weekly meat deals email. His firm is picking up more and more complex projects like these and saving a huge amount on costs. Turn-key services that enable guys like him are going to reap the rewards.
- stopachka 1y agoIt has been really interesting to see how non-technical people use agents. My girlfriend shipped a full-stack on the app store [1]. She was only familiar with basic HTML. Now she's building out an inspiration tracker that has file uploads, weekly todos, search, categories. There's a lot more ideas and people who would love to put in effort to give to the world, then there are expert programmers to build them. [1] https://apps.apple.com/us/app/go-deeper/id6745434359 https://apps.apple.com/us/app/go-deeper/id6745434359
- stillpointlab 1y agoCongrats to your girlfriend! Actually shipping their own app is a feat that many programmers never achieve, instead spending their entire lives working on projects for others. I'm going to jump on this to think aloud about the unlock this ability gives the world for customized apps. My neighbor is a landscaper and he is constantly complaining to me about invoicing software. He has gone through 10+ apps trying to find one that fits his particular set of requirements. He was telling me recently that he spent several phone calls with a developer who had shipped an iOS app that was close to what he needed trying to explain what he wanted. He knows I am a programmer and is always hinting that I should develop an app that would meet his requirements. But I know better. Invoicing/scheduling software is really difficult, especially to appeal to everyone. Each small business has so many tiny requirements that are specific to their business and their personality. You can't just have one piece of software that appeals to everyone, that meets all of the requirements, without it becoming bloated and complicated. And if I built to his particular requirements, I would have exactly 1 customer, which isn't sustainable as a business (I mean, he wants to pay ~20/month). But now we have a world where that kind of highly customized software will be possible. As more and more LLM-ready building blocks emerge, custom software may become the norm rather than the exception.
- deleted 1y ago[deleted]
- izabera 1y ago> Today we’re releasing an API that gives you and your agents full-stack backends. Each backend comes with a database, a sync engine, auth tools, file storage, and presence. this is a hosted lamp stack, we had it 20 years ago. is cpanel is not fashionable anymore?
- stopachka 1y agoCPanel can still work great. But Instant is a bit different. Every query you write is reactive by default, it works offline, comes with a lot more batteries, and is multi-tenant.
- nadirhadad747 1y ago[dead]