... verification. I lost most of a day to a Flutter fix that was never in the build. The command reported success, the app launched, and the change was not in it, because the tool had compiled a stale kernel. Nothing in my workspace could tell me the code I was reading was not the code that ran. So what I would want first is not memory or fewer tabs. It is that every claim of done arrives with the artifact ...

... which is the opposite of what you are paying for. I wrote two reviews here recently, both unprompted, and neither was praise. One says the tool will report a change as done when the build quietly used a stale kernel and nothing landed on the device. That sentence is why the rest of it is believable. The criticism is what buys the credibility for everything else in the review. So I would stop asking for reviews and start asking ...

... BetterStack, and there was nothing. So whatever killed the pod didn t let it run any more JavaScript on the way out. The convenient theory The convenient theory was OOM. Node.js services hit the cgroup limit, the kernel reaps the process with SIGKILL, the dashboards spike, the pod restarts. We ve seen it before, and it s the first thing anyone reaches for. We looked, and container memory stayed comfortably below the limit on every restart we examined ... ... When OOM stopped fitting, we walked back to kubectl and looked at what it actually said about the dead containers. Last State: Terminated Reason: Error Exit Code: 137 Exit code 137 is 128 + 9, which is SIGKILL, so the kernel

... want it. Using it to ship a production SaaS from scratch is a different game entirely and most people figure that out the hard way Comment from Jim Jeffers(@jim_jeffers): The useful split here might be prototype spec vs production spec. Vibe coding is very good at turning a rough product idea into something you can react to, but it s easy for non-technical founders to mistake that artifact for the real system. Before rebuilding with a developer ... ... simincident.com . No programming background apart from casually learning C++ years ago at a basic level. The AI wave was a game changer for me because I always wanted to build my own product. Started by pasting ChatGPT code into VS

... them during nights. i start with reviews in the morning. Comment from Solal Zanovello(@solal_aegis): This is a game-changer for AI context management. I m currently 17, building Aegis Omni-Core (a high-performance no_std Rust kernel), and I hit the same wall with submodules. When you're working on low-level SIMD optimizations (AVX2), the AI (Cursor/Claude) needs to see the link between the core kernel

... during inference) by up to 7.3 . What's new in this release: User-selectable Compute Mode in Settings AI Optimization. Pick Auto, CPU, or GPU (CUDA). Real integration with the turboquant-gpu library. The GPU backend runs cuTile fused kernels for the full 2-bit / 3-bit KV compression path. The CPU backend uses a PyTorch fallback with physical-core thread pinning and MKLDNN acceleration. Live-measured compression ratios in the UI. No more static lookup tables ... ... actual compression your backend produced on the last request. Graceful fallback everywhere. Missing CUDA? Falls back to CPU. Missing cuTile kernels

... settings files (#333). Other various minor fixes and stability improvements. Comment from Solal Zanovello(@solal_aegis): This 0.7.0 update is massive, especially the Strategy Engine ! I m 17, currently building Aegis Omni-Core (a high-performance no_std Rust kernel), and my biggest friction point is usually the "context gap" between my IDE and my local system state (registers, memory dumps, performance logs). The fact that Everywhere can now intelligently perceive context and dispatch assistants with one click is exactly ... ... what I need for low-level debugging. I m particularly excited about the STRATEGY.md for no-code automation being able to define a specific "Kernel

... separate layer? Comment from Solal Zanovello(@solal_aegis): Huge milestone for @Mintlify! The shift toward documentation as the "knowledge layer for AI" is exactly what we need. I m currently building Aegis Omni-Core (a 9.4 GB/s Rust kernel for FHE), and I ve realized that for low-level systems, the documentation isn't just for the dev anymore it s the "instruction manual" for the AI agents (Cursor/Claude) helping us code. If the docs don't explicitly explain ... ... memory alignment or SIMD constraints, the AI agent will hallucinate and break the kernel

... schedule them to run at specific times. Comment from Solal Zanovello(@solal_aegis): The /automation command is a game changer for system-level development! I m 17, currently building Aegis Omni-Core (a high-performance no_std Rust kernel), and one of my biggest pain points is manually running and analyzing benchmarks every time I tweak a SIMD optimization. Being able to schedule AI agent steps to run these tasks and report back via automation directly in my workspace ... ... configure an agent to monitor my CI output and automatically trigger a "deep-thinking" session if a performance regression is detected in my AVX2 loops? Also, the Drag-to-Split for terminals is a huge UX win having multiple kernel

... over the heatmap so you can actually see them. Try it at https://deconflict.pages.dev Comment from Solal Zanovello(@solal_aegis): This is a masterpiece of browser-based engineering! I m 17, and while I m mostly deep in Rust kernel development (Aegis Omni-Core) , I have a huge appreciation for tools that bring professional-grade physics to the web. Your implementation of thickness-aware wall attenuation is spot on. I was reading about your signal model using an inverse quartic ... ... smart move for furnished indoor environments. It s way more realistic than a simple free-space model. Quick technical question for @seanreid: Since you ve now added multi-floor support with slab material bleed-through (concrete vs

... everyone! I think writing GPU code is going to be something that's going to become ubiquitous even though today it's a tough and time consuming process. Claude Code and Cursor agents have gotten great at writing GPU kernels once they know what to target. What's missing is the tooling to get them there. We're building that tooling at https://ncompass.tech . Our agent analyzes the profile and gives back a list of bottlenecks and ways to solve ... ... them. Once that's known, you can feed that to Claude Code / Cursor and they will implement the code. Using Claude Code and the nCompass agent, we implemented a Hopper GEMM kernel

... would when delegating to your team. Comment from Ghost Kitty(@ghost-kitty-9744239): Comment Deleted Comment from Solal Zanovello(@solal_aegis): This is such a relevant debate. I m currently 17, building Aegis Omni-Core (a no_std Rust kernel for FHE), and I ve faced this exact dilemma. For a project hitting 9.4 GB/s , "Vibecoding" the core logic is simply impossible. AI (like Claude or Cursor) is amazing for scaffolding, but it often struggles with deep memory alignment, AVX2 ... ... latency later. Curious to hear: do you think we'll ever reach a point where AI can handle manual register allocation as well as a human developer? Comment from Stan Kolotinskiy(@sk_uxpin): The framing of "vibecoding vs

... averaging them away. Results across 8 domains: learned agent skills pushing Claude Code to near-perfect accuracy simultaneously making it 47% faster, cloud scheduling algorithms cutting costs 40%, an evolved ARC-AGI agent going from 32.5% 89.5%, CUDA kernels beating baselines, circle packing outperforming AlphaEvolve's solution, and blackbox solvers matching andOptuna. pip install gepa |  Detailed Blog with runnable code for all 8 case studies  |  Website ...

... sensitive flows. The goal is simple: make API-based execution behave more like a local browser session, without sacrificing speed or reliability. Proxies are entirely opt-in, and all remote executions still use stealth-mode functionality, including Kernel 's built-in CAPTCHA solving. Comment from Bhavin Sheth(@allinonetools_net): This is a very real pain point most automations don t fail because of logic, they fail because production environments don t behave like local ones. Giving explicit control over proxy ...

... this as a personal dream for a lot of years. I always felt the cookie-cutter way of deploying a virtual server was tired and backwards, so we got to work on this as one of our projects at Kernel Keepers LTD. You get your network first, we allocate a full /24 subnet to you, and then you plonk your services on top of that, think of it like a homelab in the cloud. Think of it like a totally ...

... midway through a pentest. Recon s wrapped, two privilege escalation paths have failed. You flip over to ChatGPT hoping for something useful and it spits out the usual suspects: SUID binaries, kernel exploits, weak folder perms. It doesn t know your host, it doesn t know your tools, it doesn t know what phase you re in, and that s the real problem. We asked: what would it take to build an assistant that actually thinks like an operator under ...

... powered fintech platform, VibeTrader. They just feel way more fluid when you re juggling logic across multiple files. Comment from Daniel Bernasconi(@daniel_bernasconi): @chrismessina  have you tried Claude Code? Do you think Warp is a valid alternative? I know they are a bit different, but with the weekly limits and all coming to CC, I better prepare and incorporate new tech "under my belt".. Cheers Comment from Pedro Marchal(@pedro_marchal): Honestly, I'm team "why choose ... ... wanted to know my actual "AI tooling cost" per month. Turns out it was around $150/month across all providers. Knowing that number changed how I use these tools - I'm more intentional now about when I lean on AI vs

... like the nightmare of AI, because everything moves so fast and everyone is building more stuff (and barely maintaining it) There are a lot of AI frameworks to begin with: LangChain. LlamaIndex. AutoGen. CrewAI. DSPy. OpenDevin. Semantic Kernel... They re all trying to answer one basic question: 'The best way to reliably interact with an LLM so that you can bolt things like memory, tools, and MCP to your AI agent' Everyone Wants to Be the `express.js` of Agents ... ... www.producthunt.com/search?q=MCP No one trusts the abstractions they didn t write themselves. Every framework is a political stance, a philosophy on how to do the "NEW THING" right: Where does context ends and reasoning begins? How much to expose vs

... template (mostly meme or reposting pages) A Chrome extension that sorts all the reels/tiktok videos by views/likes/comments on any profile. (used for content inspiration) Never launched these two, but will do it soon. Currently building a free alternative for Calendly Pro (somewhat vibecoded in the beginning) and will launch it in Oct 1st week most probably. Comment from Gavin Elliott(@gavinelliott): Great discussion! The first thing I vibe-coded was https://bestaithings.com using Cursor - I nearly gave ... ... project was a todo webapp classic entry point But the one I'm most proud of came later: Claudine , a kanban board for Claude Code. Built it because I kept losing track of which agent conversations needed my attention vs