u/Designli

We're Designli, a software development company. For the last 3 years we've run a scholarship for women in tech, and this year's topic is one we think candidates will have a lot to say about.

How can women stand out in the AI business development era? AI tools have changed what leadership in tech looks like. AI development has moved well beyond writing code. It's product, strategy, and ethics, and that's where this scholarship is pointed.

• Deadline: November 15, 2026, at 11:59 p.m. EST
• Winner announced: December 1, 2026
• Amount: $3,000
• Open to female U.S. students, any level

You can find the landing page as 'Women in tech Designli'

Designli runs an annual scholarship for women in tech, and the 2026 edition is open. This year's essay is about AI development, specifically how women can step into leadership roles as AI tools reshape what it means to build and run a tech business.

• Deadline: November 15, 2026, at 11:59 p.m. EST
• Winner announced: December 1, 2026
• Amount: $3,000

Full details: https://designli.co/women-in-tech-scholarship

Designli runs an annual scholarship for women in tech, and the 2026 edition is open. This year's essay is about AI development, specifically how women can step into leadership roles as AI tools reshape what it means to build and run a tech business.

• Deadline: November 15, 2026, at 11:59 p.m. EST
• Winner announced: December 1, 2026
• Amount: $3,000

Full details: https://designli.co/women-in-tech-scholarship

It still works. Users can sign up, core features are there, and the team shipped consistently. But somewhere between the first sprint and now, the thing you built stopped being the idea you had in mind.

The thing is probably nobody made a bad decision, and that's what makes it hard. A feature got added because a user suggested. The roadmap shifted to fix something urgent. A competitor launched something and the pressure to respond felt real. 

But direction drift doesn't announce itself. It just quietly accumulates until one day you're three steps removed from the original problem you set out to solve. And now the product feels harder to explain than it used to.  That feeling is worth paying attention to because catching it early is a lot cheaper than where it goes if you don't.

Before you think about rebuilding, replacing the team, or scrapping the roadmap; go back to the original problem. Write it down in one sentence. Then look at what you've built and ask honestly whether it still solves that. Most of the time, the gap is smaller than it feels. But you can't close it until you know exactly where it is.

Not your mom. Not a friend who signed up to be nice. An actual stranger who found the product, understood it, and decided it was worth their time.

It wont  happen from a launch post most likely, but you have better chances if you get specific about the person. Before you reach out to anyone, you should be able to write a one-paragraph description of exactly who you're looking for. Their problem, their context, how sharp that pain actually is. 

When you know who you're looking for, the outreach is simple. LinkedIn, a niche dicord community, a subreddit where they already hang out. Lead with the problem, not the product: "I'm building a tool for ops managers who are still tracking team capacity in spreadsheets, is that something you're dealing with?" you're checking if the problem is real for them. Expect maybe one in five to respond. That's fine. When someone does, slow down. That conversation is worth more than any campaign you could run right now. Listen for how they describe the problem, their words, not yours. Listen for what almost stopped them. Listen for what they expected that wasn't there.

Most founders rush past that first user to go find the next one. But that person, if they felt genuinely heard, already knows someone with the same problem.

AI coding tools have really changed the last couple of months, and while productivity is up, there is a major side effect. We are not seeing this break our own internal systems, but it is clear across the industry that the learning friction is almost entirely gone. If you do not force that friction back into the process, engineers never develop the mental models they need for system design. You just end up with fast results and shallow thinking.

We treat AI as an assistant to keep the product sustainable, but we have had to change how we work to make sure people actually understand what they are shipping.

First, we treat reasoning as the actual deliverable. Just saying the code works is not enough. Devs need to be able to explain the trade-offs and the potential failure modes of what they just built. If they cannot explain why they chose a specific pattern without checking their prompt history, it is a red flag.

We also started stress-testing design reviews way harder. Do not just look at the syntax. You have to ask what breaks and how the system scales until it is clear they actually own the logic.

The goal is to push ownership early. Even juniors should own small design decisions end to end. If we do not raise the bar on what it means to actually understand a system, we are all just building a house of cards.

Solo founders eventually hit a wall where duct-taping the product together on your own just does not work anymore. The momentum is real, but the infrastructure is messy and the UX needs to grow up.

The hardest part is expanding the team without breaking the culture you built. If every single decision still has to run through you, you haven't actually scaled, you have just added more people who are dependent on your time.

One thing that helps is moving away from the idea of just hiring a task-executor. You need people who actually understand the product logic. This usually means having a tight loop between design and engineering so you aren't the only one who knows why a feature exists.

You also have to build in a layer of ownership that is not you. This is where most founders get stuck. You need someone, a product owner or a lead, who can translate the business goals into priorities so you aren't micromanaging every PR.

It also pays to make the codebase and the roadmap understandable for a human who did not write it. It needs to be clear enough that a new person can get oriented without asking you a question every ten minutes.

If you do this right, you stop being the person building every single brick and start being the one actually guiding where the building goes.

Stop building for everyone. The products getting real traction right now are not trying to be the next big platform. They are solving one single, painful problem for one specific type of person.

I have a hunch that the era of 'all-in-one' software is over for small startups. The fastest way to get your first ten customers is to pick a niche so narrow that it feels small. Instead of a general CRM, build one specifically for HVAC contractors that auto-generates compliance reports for local inspectors. Instead of a generic scheduling tool, build one for mobile pet groomers that optimizes their route based on water tank capacity and van charging stops.

When you go that deep, the competition decreases. Your distribution becomes easy because you know exactly which Facebook group or specialized forum to post in. The customer does not feel like they are looking at a tool; they feel like the tool was built exactly for them.

You do not need months of formal validation for these types of ideas. If the niche is underserved and the pain point is clear, you can usually tell within a week if it will work. The goal is to be the only obvious choice for a very small group of people.

There is a distinction that every founder needs to understand right now. Coding is not architecture.

Coding is just the act of writing valid instructions for a computer. AI is fantastic at this. It can write code faster than any human, and vibe coding is a great way to prototype or validate a concept at light speed. If you are just trying to see if an idea has legs, you should absolutely lean into it.

Architecture, however, is the strategic planning of the system. It is the blueprint that decides how the database talks to the server, how the system handles ten thousand users versus ten, and how secure the data remains during transit.

Vibe coding is perfect for the sprint, but architecture is what keeps you from having to rebuild the entire thing in six months. AI can give you the bricks, but it does not know how to build a foundation that will not sink under pressure.

At the end of the day, a fast codebase with poor architecture is just a high-speed way to reach a dead end. Use AI to move fast, but do not let it make the big structural decisions for you.

As we move through 2026, the speed of development is hitting a breaking point. If you are a non-technical founder, it is incredibly easy to lose sight of what is actually happening.

First, you have to actually review the code. You do not need to know how to write it, but you need total visibility. Ask for walkthroughs. Demand code reviews. Ensure that QA is an essential part of the sprint. Rushing or "hacking" anything today leads to significant technical debt that you will have to repay in six months.

Second, do not mistake AI output for quality architecture. AI can accelerate how much code you ship, but it does not take responsibility for the system design. Temporary fixes have a habit of staying in the codebase forever. To ensure a product thrives beyond its second year, durability must be a priority from day one. This requires a robust architecture that facilitates seamless maintenance and code expansion without future complications. Speed is great, but not if it comes at the cost of a foundation that will not scale.

Finally, you have to stay curious about the actual mechanics. Understand what AI can and cannot actually do for your specific product. The founders who actually take the time to learn the systems and processes are the ones who can adapt when things break without hitting the panic button.

Shipping CRUD apps, dashboards, and APIs isn’t rare anymore. AI and modern tools have flattened the playing field. Speed alone isn’t an advantage.

What’s harder now is clarity. Knowing exactly who the product is for, why it matters, and how to reach the right people consistently. Distribution and retention are what multiply.

At this point, solid tech is the baseline.

Data can become a moat if it’s unique or hard to replicate, but the real edge builds through distribution and trust. If you can reach the right users and give them a reason to stay, that advantage grows over time.

Spend less time perfecting the product early on. Spend more time proving you can get users and keep them.

I've been working on software products and internal systems for a while now, and there’s one pattern with non-technical founders that just keeps showing up.

Most of the time, the ideas are actually great they just tend to die during the execution phase. Usually, the friction falls into a few specific buckets:

• The "Translation" Gap: Trying to turn a massive vision into a focused MVP without the scope getting out of control. It’s brutal deciding what actually needs to be built first.
• Execution Chaos: Choosing a tech stack you don't fully understand, finding devs you can actually trust, and trying to get things like payments or dashboards integrated without the whole thing becoming a mess.
• The "Demo vs. Reality" Trap: Everything looks great in a demo, but then it falls apart in production. Or the budget and timeline just completely shift once the real complexity starts showing up.

Sometimes it’s not even a tech problem it’s just that "analysis paralysis" where you don't know what the next move is.

For those of you launching (or who just got live), where are you feeling the most friction right now? What’s the part that’s actually keeping you up at night?