Looking for founders ready to hand off engineering
A founder came to us 3 months ago with a legal app he had spent $5,000 and 2.5 months building with AI tools.
He was not a bad founder. He was thorough. He kept prompting, kept iterating, kept paying. The app looked like it worked. Then he tried to add a new feature and everything broke. He tried again. More broke. He opened the code and could not understand what he was looking at.
When we opened it we understood immediately. There was no architecture. No standards. No separation of concerns. Just AI output stacked on AI output until the whole thing was held together by nothing.
We told him the honest thing: fixing this would take longer than rebuilding it. We rebuilt it from scratch. It took 2 months. It is launching soon.
What he told us about why AI tools failed him
Three things he said that every founder building something complex should hear.
The context window problem. Every time he started a new session he had to re-explain the entire product to the agent. The more complex the app got the more tokens went toward catching the AI up instead of building. Features added in session 40 had no memory of decisions made in session 3.
The accountability gap. His words exactly: "I cannot hold an AI tool accountable if data leaks in a legal application. If I am working with an actual engineer who understands the infrastructure I can hold someone responsible. We can test everything. We can stand behind it."
Feature additions destroying existing work. Every new feature the agent added broke something else. Not because the feature was wrong. Because the agent had lost the thread of what the architecture was supposed to be.
How we work differently
We do not prompt and hope. Before writing a single line of code we map the full architecture, define the module boundaries, document the decisions, and build a testing pipeline that catches breakage before it ships.
When we use AI in our process we give it precise engineering commands with clear scope. Not analogies. Not re-explanations. Exact instructions with verified outputs at each step.
The result is a codebase a human can read, maintain, and hand off. Not one that only works until the next feature.
Who we are looking for
Founders with a real product or a validated idea who need a technical team that owns the engineering completely while they focus on growth and customers.
Monthly retainer. No equity. You own everything. We start with a paid discovery sprint so you can evaluate how we work before committing long term.
If this sounds like where you are right now, reply here or book a call directly at forgex.systems/book
What did you build with AI tools that you now cannot maintain or scale?
Hey! Saw you're looking to hand off a project.
I take over content sites and grow them with affiliates.
Would you consider letting me run it with $200 down + revenue share?
Tell me more about it.
Thanks Timothy. We are a software engineering team, we build products for founders, not content sites. Sounds like you are looking for something pretty different. Good luck with the search though.
The accountability gap is something way too many non-technical founders overlook until it's too late. It’s one thing to let an AI generate a fun side project, but if you're building in legal or fintech, you literally cannot afford "hallucinated security flaws" or silent data leaks. Having actual engineers own the architecture and stand behind the infrastructure is non-negotiable once real users and sensitive data are involved.
Exactly right. And the moment real client data, contracts, and payment records are involved the product is no longer just a workflow tool. It is infrastructure that other people's businesses depend on.
That shift changes everything. Not just security but the entire foundation. How the data model scales as client lists grow. How the system handles multiple users accessing the same records. How new features get added without breaking existing workflows. How the whole thing performs when it stops being one person's tool and becomes something twenty freelancers rely on daily.
We actually started building our own internal CRM for the same reason. The frustration with Notion is where it originated for us too. Stitching together databases and relations and automations works until it does not and then you spend more time maintaining the system than using it.
How far along is NomadOS right now? Curious whether you are still refining the workflow or starting to think about moving to a custom build.
That Notion maintenance trap is so real. Stitching DBs and automations works great early on, until you spend half your week fixing silent sync errors. Right now with NomadOS, we're still refining the core workflows and validating with active users. But yeah, we're definitely hitting that ceiling where a proper custom build is starting to look like the obvious next step.
That ceiling hits exactly when validation starts working. The system that got you to users is almost never the system that scales with them.
The real question at your stage isn't do I need a custom build. It's which parts of what I've validated do I actually want to carry forward vs rebuild clean. That decision made early saves months of debt later.
I went through this exact thing building my own internal CRM. Started in Notion, hit the same walls, eventually built it properly. The surprising part was how much of the Notion structure was actually worth keeping.
When you say you're hitting the ceiling is it the sync errors between databases breaking, or is it more that the relational structure itself doesn't hold as the client list grows?
The paid discovery sprint should leave the founder with a durable decision package: architecture map, risk register, test baseline, security assumptions, prioritized remediation options, and a rebuild-versus-repair estimate with evidence. That makes the engagement valuable even if they choose another team. It also protects against the natural agency bias toward recommending a complete rewrite.
This is exactly how we frame it internally. The discovery sprint output belongs to the founder regardless of what they decide next. Architecture map, risk register, rebuild versus repair estimate with the reasoning behind it. If they take that package to another team or bring someone in-house, that is a win because they are making an informed decision instead of a desperate one.
The rebuild bias point is fair and worth naming directly. The honest answer in our legal app case was that repair would have taken longer and cost more than starting clean. But we document that reasoning so the founder can challenge it. A recommendation without evidence is just an opinion.
The security assumptions piece is the one most teams skip in the sprint. We added it after seeing how often founders had no idea what threat model their app was built against. Usually the answer was none.
The context window problem is real — I’ve been building with Replit Agent and hit exactly this: features that made sense in one session getting undone or forgotten a dozen sessions later. What’s worked for me is keeping the product spec and prior decisions written down outside the AI’s memory, so I’m the one holding continuity instead of hoping the tool remembers. Curious whether you’ve found founders can learn to manage that discipline themselves, or if it really does need a dedicated technical partner watching the architecture full-time?
Keeping decisions written outside the AI memory is exactly the right instinct and it works well for simpler products. The discipline you described is genuinely what separates founders who get somewhere with these tools from ones who keep losing ground.
Where it breaks down is complexity and speed together. A founder managing their own architecture document can hold continuity on 10 to 15 decisions. A production app at growth stage has hundreds of interdependent decisions across auth, data model, API design, third party integrations, and infrastructure. The document grows faster than one person can maintain it while also talking to customers, managing finances, and actually running the business.
The honest answer to your question is: yes founders can learn to manage this themselves for a certain level of complexity. The moment the product crosses into real users, real data, and concurrent load that threshold shifts. Not because the founder is incapable but because maintaining architectural continuity becomes a full time job by itself.
What are you building on Replit? Curious what level of complexity you are managing with your current approach.
Sounds like me as be beginner in Vibe coding early this year. No idea of context window, just talk talk talk, and then when adding a new feature, an old feature broke. Quite annoying. Now I'm quite famliliar with agentic coding, and feel more comfortable to use AI to constructing software.
That learning curve is real and most people do not talk about it honestly. The context window problem specifically catches everyone the same way at the start. The difference between using these tools as a scratchpad versus using them to build something you have to maintain long term is a completely different skill set and most of the marketing around these tools skips that part entirely.
Glad you found your footing with it. What kind of products are you building now?
Glad to see your reply ! Actually I'm full-time developer for years. Before the agentic coding era, when I received a task, I would explore the code base first, found a proper way to adjust the current procudure. I pay special attenion to the stability and extensibility of the design. Coding by hands makes me feel good. While now I have to pay more attention to the harness part, just like teaching a trainee to work.
As to your question, during the past months, I have been building a app for my son to manage his gaming time. He's 7 years old and likes to play Minecraft. I'm not that kind of parent who want to keep an eye on my son when he is playing games. So I build a app to help me . Check it here: Pliddo
The harness analogy is exactly right. You go from writing code to reviewing code, and the review requires the same depth of understanding as writing it did, sometimes more, because you have to catch what the agent missed rather than what you would have missed yourself.
Pliddo is a great idea. The best products usually start from a problem you actually have. A 7 year old who loves Minecraft is about as real a user as you can get for testing whether something actually works.
yeal, in fact , my boy helped me find some bugs, hha. I build a homepage for pliddo, and I'm currently busy at uploading to the Microsoft App Store. Right this morning, I finished filling out the tax form. Publishing and marketing a product is far more complex than building itself.
Your son finding bugs is the best QA story I have heard in a while. And you are right that publishing and marketing is a completely different skill set from building. Most developers underestimate that gap until they are sitting in front of a tax form at 6am.