... when to wrap up its work. Since making both changes our overnight batch runs have stayed under four dollars total without supervision. Always cap consecutive tool retries, at the code level than relying on prompt instructions to stop a loop. How do you set up guardrails to catch AI agent loops

... pause execution. It then routes the ticket to a queue. We also added a stop condition, on state changes. This ensures that financial actions can never execute twice within the session. Since making that change we have had zero loops. Our average response accuracy has improved. What guardrails do you use to keep your agents from looping

... When we first put 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 ... ... Slack channel for a person to check. This simple rule cut our cloud computing costs by forty percent in the month. Better it stopped users from waiting ten minutes for a request that would never finish. If you use loops

... Relying on the model itself to break out of a broken loop never works out well. Putting hard programmatic limits outside the LLM layer is the only real way to protect your cloud bill. A 40% drop in infra costs just from stopping bad loops

... everyone, I'm Roland, a solo founder building PretzelGraph, an open source graph runtime for agents. Most workflow and agent tools either hide the agent loop inside a node you cant open, or have you write it in code. In PretzelGraph the agent loop

... building a local multi-agent setup right now and keep hitting state synchronization issues between steps. tried a few simple python async loops but it gets messy fast. curious what other developers here use for testing agent loops

... excited to welcome @Loops as Designeer's first Diamond Sponsor Loops

... been designing a voice pipeline lately, and the whole design boils down to one idea: a dual-speed loop . Fast loop

... 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

... every input unchanged, the plan is re-proposed identically, because the refusal was never one of the inputs. A no is a fact about the world, and a recheck that does not read it launders it. You get a loop that looks like diligence. Which is the argument for typing the refusal: not this way is a durable constraint on approach, not right now is a constraint with a clock on it, and only a typed ... ... once you look at it per-call instead of per-action. an agent that sends one email at a time in 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 Ghost ... ... changed. It's strange how the brain keeps working even after we've called it a day. Comment from Priyam Sekra(@priyam_sekra1): This happens when your brain is carrying too much unresolved state, almost like an unclosed 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

... free early access and hear what you think Comment from Evgeny Alexeev(@alexe_ev): Here is my 5: Claude - solo building my little product with it! Linear - best jira alternative even for solo Zed - fast and light, if terminal is not enough for you but you won't stick to VS

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

... 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 ... ... itself. It was using Claude alongside it to engineer the prompts I was feeding in. Plain-English idea Claude turns it into a precise, structured prompt Replit builds it without spiraling. That second layer saved me from the debugging 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

... 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 ... ... customer research. You didn't need ten enterprise deals. You needed one honest conversation with someone who actually had to get a vendor approved. Comment from Umadhav Salapu(@umadhav): Classic build trap optimizing for the customer you want vs

... need. And sometimes to understand the core need. Following features and what users ask is a pitfall in my view. Comment from Landon Reid(@galax): Ship fast isn't the lie. Ship without listening is. Speed x feedback loops = winning. Speed x assumptions = expensive waste. The founders who win talk to 5 users before writing a single line of code. Comment from Umair(@umairnadeem): idk i think the advice itself is fine, people just skip the "learn" part. you shipped ... ... features weekly and learned nothing from it - thats not a speed problem thats a feedback problem. the 5 user interviews you did IS shipping fast, you just finally closed the loop

... 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

... vs Needs Review vs

... this! I'm a bit hesitant to try out Claude Code simply because it's mostly in terminal but.... I might have to bite the bullet. Comment from Syed Ahmed(@syedahmedz): oh and theres a VS code extension for Claude Code too https://marketplace.visualstudio... Comment from Alexander Bickov(@bickov): Funny that half this thread is "same underlying model, so why is the output so different." That's the tell that the editor matters less than what you feed ... ... like I can easily see and manage what's happening. Comment from Andr J(@alchemist_studio): @gabe  The gemini cli github account is getting pounded RN https://github.com/google-gemini... . Classic "SEFO" "ship early and find out" As an alternative

... 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