... when starting a fresh thread, answers are crisp and precise. but after an hour of tweaking UI components back and forth, the agent starts referencing variables we deleted ten prompts ago. I spent thirty minutes debugging an error only to realize the agent was silently modifying an outdated file copy it remembered from earlier in the session context. how do you manage context drift do you hard-reset your agent chat regularly or prune system prompts? Comment from Neelagiri Chettiyar ...

... been debugging my own view of the system instead of the system itself. Now I verify the observation channel before I touch the code. Where is the output actually going? Am I looking at the right place? It takes thirty seconds and has saved me hours. What's a bug you "fixed" that was never actually broken ...

... There is one practice that I have found works for me after a few projects. I always create my database scheme manually before asking the tool to generate the screens. This takes about thirty minutes. This practice was introduced after a recipe application I was building ended up with ingredients stored in one single string of text. Everything looked beautiful, and all of the demos ran perfectly. However, then I wanted to create a shopping list by collecting ingredients from ...

... Product Hunt, I'm the maker of AI Startup Jobs. A couple of weeks ago I started collecting open roles from AI companies into one board, mostly for myself job hunting meant thirty open tabs, and salary info hidden until the final round. Today it holds 7,074 roles at 112 companies, refreshed daily. The part I care about most: whenever a company publishes a salary range, we show it right on the listing. Only 37% of roles publish ...

... this backwards twice last month. First I scheduled a thirty minute call to discuss something that needed one paragraph. We spent the first ten minutes on pleasantries and the last twenty on something that would have taken four minutes to read. Then I sent a long message about something that actually needed a conversation. Three days of back and forth, misunderstanding layered on misunderstanding, when ten minutes of talking would have cleared it. The medium matters more than I usually ...

... email newsletter. Traffic spiked every Tuesday. Our downstream product signups remained completely flat. We looked at our analytics. Discovered that those catchy headlines were meant to increase click-through rates but actually attracted curious casual readers who bounced within thirty seconds. They were looking for entertainment, not software solutions. We rewrote our titles to be boringly specific about the technical problem the article solved. Traffic dropped by thirty

... random text pieces, old instructions and repeated steps ended up. Everyone kept their copies, which led to very different results from one project to another. We checked every prompt. Removed anything that had not been used in the last thirty days. For the ones that stayed we created a way to name them based on what kind of input they needed and what kind of result they should give. The results became more consistent right away and new team members ...

... higher. Of rewriting every page manually we built a template that combined customer review highlights and common buyer questions into the product descriptions block. We added use cases and dimensions to every single item. Organic traffic grew by thirty-four percent over three months as search engines started indexing the user-focused content. Shoppers also spent time browsing each page. Stop relying on supplier text, for your product descriptions. Add user insights and specific use cases to satisfy search intent ...

... some kind of movement even when I am totally uninspired: sending one message to a past customer asking what he does manually now, fixing one bug reported via support mail, deleting one rarely used feature. All these tasks take thirty minutes at most, and I can do them even when I am exhausted. The list did not solve my problem with flat weeks. What it changed was the way I finished them. Now I shut down the computer after getting ...

... value from the software. We stopped looking at of-funnel traffic completely and started focusing on one retention measure: whether a new user finished our main setup process within their first ten minutes. If they completed that step their thirty-day retention rate went above sixty percent. That single measure became our guide for every product change and every engineering project. If a new design caused fewer people to finish the setup process we changed it back away even ...

... that affects three other parts of the app. I m starting to think the real test of an AI-built app isn t whether it works on day one, but whether you can understand and maintain it on day thirty. For those building with AI, what do you do to make sure you actually understand what you ve shipped? Comment from George Basov(@gbasovv): Two things carry most of the weight for me. First, one shape for everything. Every screen ... ... view model, every feature has the same folders, and the whole layout was copied from an older project I already knew. When the AI writes a new screen it lands in a place I could find blindfolded, so day thirty

... hated meetings. Still do. But I noticed the problem was not the meeting itself. It was the scheduling, the setup, the thirty minutes of context before anything useful happened. So I tried something. Instead of booking time, I sent a voice note. Just me, talking through the thing I needed to say, for two minutes. The replies came back faster than meeting invites ever did. People responded in their own time, with their own thoughts, without anyone having to clear ...

... multi-step AI agents to work handling backend customer queries our biggest surprise wasn't getting wrong answers. It was loops. An agent got stuck trying to fix a syntax error in a SQL query running the failing command thirty times in two minutes. The fix wasn't changing the way we wrote prompts. We added a limit, on how many times something could run and a way to stop everything. Now if any agent makes the mistake twice ...

... generate left an uncomfortable pit in my stomach. I had completely forgotten how to do it myself. We talk endlessly about the hours we save. A debugging nightmare that used to eat three full days now disappears in thirty minutes. Yet somewhere along the way, we traded the satisfying friction of real problem-solving for pure convenience. It feels less like we unlocked superpowers and more like we let our mental muscles quietly atrophy. Strip away the autonomous agents ...

... Product Hunt! I'm Federico, an AI engineer from Italy. If I don't write something down in the next thirty seconds, it's gone: an idea, an appointment, the thing I promised someone I'd remember. With ADHD that happens many times a day. So I built SecondBrain. I tap, I talk, and it writes a clean note in my words, files it in the right folder, puts the date on my calendar and reminds me. The part ...

... minutes), read the story, edit it, and only then confirm the render (about an hour). If a render fails, the credits come back. Nobody should pay for an hour of rendering on a story they'd have rejected in thirty seconds. What I don't know yet Whether people want to direct or just press a button. You can leave the description empty and let it decide everything, or edit every scene. It's still labelled beta for that reason ...

... taught high school mathematics for eleven years before changing careers last spring. I often get asked whether teaching prepared me to build software. Well, in some way, yes. You learn quickly when explaining fractions to thirty teenagers whether your explanation makes sense. I am working on Parcelwise, which is a tool for small online businesses that consolidates shipping information from multiple carriers on a single page that customers can review. The idea came up from my sister who sells handmade ... ... need any testing done by someone who will explain things clearly, I will be glad to help you out. If you were asked for advice for a person making a career switch into technology at age thirty

... from now on depends on how many tasks you can delegate to them in parallel. When I get down to development work, I usually have eight windows open, and occasionally when the administrative tasks start pouring in I have thirty-plus running. You see, AI is very swift and with advances in every AI model, it's possible to entrust an AI with longer tasks. Consequently, if I only had one session open, I'd be the one waiting ...

... insist on seeing before connecting your inbox: where drafting stops and sending starts, whether rescheduling sticks, or how it picks the right person? Something else? I'd rather make that one moment convincing than cram six features into thirty seconds. Comment from Hisashi Space(@hisashispace): For me it's where drafting stops and sending starts. My support inbox already runs that way, AI drafts every reply and I check it and hit send myself, usually within ...

... about who uses this and what the minimal viable version is. It prevents you from making a huge dashboard, while I wanted a simple form. Second: suggest a file structure and wait for my approval. Checking a structure takes thirty seconds, unraveling a wrong one takes hours. Third: for every feature, write down what you re not going to do. That was the one that took me by surprise. Writing down what you re not doing helps keep scope creep ...

... expanded thin sections in past posts. Search engines already trust URLs so giving them fresh content pushes them up the ranks much quicker. A post that moves from position eleven to position four brings hundreds of visitors overnight. After thirty days of revisions overall blog traffic increased by thirty

... years I celebrated each increase in our email list. I refused to delete anyone because a large email subscriber count felt like an asset. Eventually our email open rates fell from thirty percent to twelve percent. Our newsletters began landing in the promo and spam folders of people who wanted to read them. Mail providers look at how many people ignore your emails to decide if you are sending spam. By keeping thousands of email readers we were telling Google ...

... absence would stop the product doing one of its functions. If your app is a thin client over your API, that API is not a separate service you can wave at. It's part of the product. This product-versus-service line is the genuinely contested bit, and I'm reading the Commission's guidance and a pile of law firm notes rather than a court ruling. I'm a founder, not a lawyer. If you're near the boundary ... ... market surveillance authority taking an interest in a company with no process at all. One thing that is genuinely in your favour: ENISA operates a helpdesk, and its own description of the role says "especially for SMEs." The exercise. Thirty

... Clad9 , an AI wardrobe app. Posting here on purpose, not sneaking it into a thread figured the build story might be more useful to this crowd than a launch announcement. Every "AI closet" pitch sounds identical for the first thirty seconds: photograph your clothes, get outfit suggestions. The differentiation always turns out to live one layer down, in which single signal the product picked to be good at and that's also where the category quietly fails. Look at what ... ... actually out there. One competitor

... pick up the case first. That changes the risk math from "will the AG notice us" to "will one upset user's lawyer notice us," which is a much lower bar and the reason this is worth thirty minutes now instead of after the first letter arrives. What I did this week, and what I'd do in any product where the AI is supposed to feel like it's listening: reread my own onboarding and marketing copy for anything ...