... Walkthrough: How I put my roadmap on the Continue button Hey vibe coders- I wanted to share how vibe code my roadmap when the project gets bigger and bigger and how I structured a loop behind it. Last month a week-long feature landed in my repo and I was barely in the room for it. I wrote the paragraph that started it. Then I tapped a button a few times over three days once at dinner, once from ... ... diff. I never touched my keyboard for it after the first sentence. That is not how handing a big feature to an AI usually goes. So let me show you the actual machine the blueprint I approve, and the loop

... Today we launched Zentrik Product Loops because as our own workflow got 10x faster, it became easy to lose the reason behind the work. A sales call became a summary. The summary became a backlog item. The item became an agent prompt. By delivery, the customer reason was hard to inspect, and what would count as proof was even harder. So we built a living Loop

... never lower it, so lying about it just gets you stopped early instead of getting away with more. the piece I don't see handled yet: what happens when two separate sessions, or two restarts of the same buggy loop, are both hitting the same real-world resource at once, say the same recipient list. each one declares 400 and gets capped at 400 individually, but if the budget lives per-session rather than per-resource, the actual total delivered ... ... fact about the world, and a recheck that does not read it launders it. You get a loop

... Woke up tired like I'd worked a full shift. Same bug, looping, my brain solving it ten slightly different wrong ways until morning. Git log empty. Nothing real happened. Part of me took it as proof I care about what I'm building. The other part knows a brain that won't clock out isn't a flex, it's a leak. Do you get this one? And if you do, what actually makes it stop? Comment from ... ... because there's no "solved" state to stop at. Writing down the next concrete step before closing the laptop is the only thing that's worked for me too, same as a few people above, it gives the open loop

... Code in the cloud, and a few minutes later a pull request appeared that restored the cache structure the refactor had broken. A developer reviewed the change, merged it, and the hit rate recovered within the hour. Without that loop, a regression like this tends to pop up weeks later in a cost report, and someone spends an afternoon dissecting deploys to find it. Latitude was built around the idea that the system watching an agent should be able ... ... hand its evidence to the system that writes the fix. This is the loop

... test until it passes (or a retry cap is hit) and writes the fix back as a local CLI or a CI GitHub Action that opens a patch PR. How it works Four layers drive a LangGraph repair loop: CLI core the single entry point (e2e-healer); everything, including CI, calls it. Data Preprocessor abstracts the raw Playwright log and the git diff into compact, hallucination-resistant context (the failing selector + the DOM attribute that changed). LangGraph agent Diagnoser Patch ... ... Generator Selector Verifier Test Runner, looping

... data, and the feedback loop behind personalization. 4. Vercel deployment plus the visibility to see where real sessions slow down or fail. 5. Figma keeping a large learning product coherent as new lesson, practice, visual, and mobile surfaces are added. The valuable part is the loop

... zero state-delta that turns repetition into a loop, because a real retry is trying to change the world and a loop

... open-source, TypeScript, works in 5 minutes alongside your existing setup. Would love feedback from anyone building with AI coding agents especially around how you currently handle cost control or verification. martinloop was originally created to solve the agent loop and ralp loop

... There seems to have two types of developers: Human in the loop : Those who like to control the behavior of their agents as it works, looking at the context usage, reading reasoning blocks, and approving individual file edits. Agent first : Those who prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel. What type of developer are you when working with AI coding agents? For context, when @Kilo Code launched their ... ... VS

... feel unstoppable. I was seeing my idea come to life. But then, reality hit. The moment the architecture required deeper complexity the magic completely faded. I stopped building and started drowning. I spent days stuck in endless debugging loops, trying to explain to an AI errors that I didn t even understand myself. I was burning precious time, and honestly, the Vercel deployments and GitHub conflicts became a nightmare. The vibe-coded version was far from a real, stable product ... ... techie it quickly becomes a nightmare. I feel so much more confident now about my SaaS as I have a good developer by my side. Comment from Jim Jeffers(@jim_jeffers): The useful split here might be prototype spec vs

... built Argus after repeatedly getting frustrated with how opaque Claude Code sessions were there was no clear way to understand why a session cost more, looped, or behaved unexpectedly, so I designed a lightweight VSCode extension that parses the local .claude session logs and turns them into a visual, step-by-step time machine debugger, showing tool calls, token usage, retry loops

... Product Hunt family! Just wanted to share a little "behind the scenes" pain from the OptiClear launch. We all know the Apple App Store review process can be a rollercoaster, and I definitely hit a loop. I had built this sweet "Invite a Friend" feature. The logic was simple: generate a code, share it with a friend, and both of you earn free premium days. A classic, organic growth loop

... makes pricing easier. Products from anonymous creators compete on price. Products from known practitioners with a track record compete on trust. That's a completely different conversation. Comment from Samir Asadov(@samir_asadov): For specialist/practitioner products this 'brand vs product' framing breaks down the product IS the brand statement. A financial model template built from real deal experience signals more credibility than a thousand brand posts ever could, because the buyer (a CFA with a deal on their desk) reads ... ... were only concerned w/ my wellbeing I'd do the same, but when I have others I'm responsible for, and they themselves have mouths to feed, I think differently about the long term effects of my brand vs

... pressure during stress If the ecosystem is under strain, Blaze can reduce output pressure in bounded ways instead of letting emissions or claim pressure run wild. That can include things like: slowing certain reward lanes increasing friction on overactive loops easing the speed of extraction reducing harvesting efficiency during stressed conditions temporarily hardening resource generation when volatility is elevated This is not punishment. It is pressure management. 2. Adjust world pacing Blaze Balance Engine is not just economic ... ... Many projects try to look strong while secretly becoming fragile. Blaze Balance Engine is meant to do the opposite. Its job is to make the ecosystem more able to handle: volatility uneven player behavior sudden hype spikes overactive reward loops

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... their current solution breaks.) So it's really a final no, more like "not right now". Comment from Miles Anthony(@miles_anthony2): How early do you think a team can realistically tell whether they are actually enterprise ready versus

... kitty-9606337): Comment Deleted Comment from Ghost Kitty(@ghost-kitty-9606238): Comment Deleted Comment from Ghost Kitty(@ghost-kitty-9606218): Comment Deleted Comment from Dallas D(@founderos): The lie isn t ship fast. The lie is assuming every fast loop teaches. Some loops

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... celebrated. Then we noticed something strange. Our API costs had spiked. Claude was making 3x more calls than necessary not because the code was wrong, but because it didn't understand pricing implications. It called external APIs in loops where a batch request would have been fine. No error. Just expensive. Day 4: The silent failure. We asked Claude to optimize our database queries. It wrote better SQL. Things ran faster. Then user emails started coming in. "Where ... ... perfectly. It acknowledged the mistake. Then it suggested 3 ways to prevent it in the future. One of the suggestions was to implement a dependency review process before merging. It was telling us to put humans back in the loop

... with a hammer, everything looks like a nail." His solution? Build a latticework a mental grid of 80 to 100 models drawn from across disciplines and use them simultaneously to analyze any situation: Physics & Systems : Feedback loops, critical mass, entropy, equilibrium Biology & Evolution : Natural selection, adaptation, ecosystems, redundancy Psychology & Behavior : Loss aversion, incentive bias, social proof, psychological denial Economics & Business : Opportunity cost, comparative advantage, creative destruction, moats Mathematics & Logic : Compounding, inversion, Bayesian thinking, power laws ... ... illuminate a genuinely distinct facet of the problem . Cosmetic application slapping a model name onto generic advice doesn't pass. Take the problem "Why does my SaaS product keep losing customers after month 3?" AIFlow might simultaneously apply: Feedback Loops

... useful. Comment from Navanita Devi(@navanita_devi): Dedy's point is interesting, the opacity problem is real. Most people conflate "AI having access" with "AI having unchecked control." They're very different things. Read-only access vs write access, logged actions vs

... deliver better ROI than paid search, which has become increasingly expensive and competitive. Trial Intelligence : We provide behavioral analytics you can't get from your own trial - comparative shopping patterns, feature prioritization across your category, and benchmarking against competitors. Think of us as a qualified pipeline channel, not a marketing expense. Q: How do you solve the cold start problem? Most marketplaces fail because they can't get critical mass on both sides. A: Our go-to-market strategy addresses ... ... creating immediate visibility to product-focused companies Demand side (Trial users): Building initial user base through our existing Willful Positivity community and professional network Offering premium trial terms (extended periods, enterprise features unlocked) only available through VeriTry Creating viral loops

... Copy-Of-XYZ-But-Just-Nobody-Use #17. Here lies It-Will-Be-A-Better-Canva. Here lies Definitely-the-Next-Notion. (I still put flowers on that one sometimes.) For years, I ve been stuck in the endless loop of: get idea hack it launch quietly abandon repeat. But this time I finally crawled out of the dirt. I recently built a product just to help me get the hell out of this loop

... student and solo developer. Cursor did deal with hassles that would otherwise have me glued to the monitors for days. BUT, cursor(actually, the AI) did made things harder in some cases. Not to mention what I call "the loop of errors" - when you ask the AI to resolve error A, it makes error B, and then to resolve error B, it makes error A, the extreme case was the ai suggested me to create a whole new project ... ... migrate my current codebase, which wasn't the case. As a fellow Cursor user, could you share your moment of "loop

... know, maybe we can ship quick Comment from Dominik Schwarz(@dominik_schwarz): Maybe it s not exactly the type of integration you had in mind, but anything that speeds up implementing Loops in Symfony projects would be fantastic. Comment from Sean Collins(@sean_collins2): Would love an integration with Attio. Right now I've got some basic things set up using webhooks from Attio, but it would be awesome to have a tighter integration so my sales folks ... ... what's going on from an email perspective with their deals & their contacts. Comment from Mat Sherman(@mat_sherman): Chris, I think when I was using Loops