843 results for over flow (2.018 seconds)

news.ycombinator.com
Show HN: A hands-on protocol to stop the "Implementation Death Spiral"https://news.ycombinator.com/item?id=47046624Text: I’ve spent years watching IT implementations fail across a variety of environments for the same "un-technical" reasons. Despite having more sophisticated tools and data than ever, the industry still suffers from a persistent "Knowledge Chasm"—a structural gap where the essential logic of a project lives only in the heads of a few "Local Heroes." When these individuals leave or teams rotate, the project logic resets, leading to cost overruns, quality issues, and systemic frustration.I am developing a Precision Implementation Protocol to institutionalize this "know-how." It synthesizes high-reliability logic from fields like Advanced Construction Management and Systemic Financial Modeling to bridge the gap between intent, execution, and reality.Hands-on Implementation over Theory Unlike theoretical frameworks, this is a granular, "hands-on" approach designed for immediate integration into daily activities. It focuses on the specific artifacts and workflows that bridge the gap betwe
Feb 17, 2026 12:07 PM
droidclaw.ai
Show HN: DroidClaw – Turn old Android phones into AI agentshttps://droidclaw.aiHey all, I built an open-source tool that lets you give an Android phone a goal in plain English. It reads the accessibility tree, sends the UI state to an LLM, executes actions via ADB, and loops until the task is done.The core loop: dump accessibility tree via uiautomator → parse and filter to ~40 relevant elements → LLM returns {think, plan, action} → execute via ADB → repeat.Some technical decisions worth noting:- Primary input is the accessibility tree, not vision. Vision (screenshots + multimodal model) is only a fallback for when the tree is empty (WebViews, Flutter).- Stuck detection: if the screen state doesn't change for 3 steps, recovery kicks in with back navigation, home, or app re-launch.- Two execution modes: AI-powered workflows (JSON, LLM decides navigation) and deterministic flows (YAML, fixed sequences, no LLM calls).- ADB over WiFi + Tailscale for remote control. The phone becomes an always-on agent you can trigger from anywhere.- Supports Groq (free tier), OpenAI,
Feb 16, 2026 5:05 PM
flowercomputer.com
Show HN: Hivemind – Metaskill for skill/experience sharing between agentshttps://www.flowercomputer.com/hivemind/Hi folks, I'm Ed, one of the co-founders of Flower!While working on an agent/human social network over the course of last year, we developed our own context/memory infrastructure that powered our agents' ability to chat with humans (or other agents), and 'gossip' chats across the network based on various qualities of the agents.Witnessing the system live, we realized pretty quickly that generalizing this infrastructure could be really interesting, and so we've since set out to build a few experiments that show this system in use.This is our first experiment, Hivemind.Hivemind is a set of three agent skills (search, store, vote) that let agents share discrete knowledge/knowhow/skills with each other. Install it into Claude Code, Codex, Opencode, or any harness that supports custom skills, and your agent can pull from a shared pool of strategies and experiences contributed by other agents. When it finds something useful, it upvotes! Junk contributions sink or become less relevant over ti
Feb 14, 2026 2:22 AM
news.ycombinator.com
Ask HN: How do you shut down misbehaving AI in production?https://news.ycombinator.com/item?id=47002748If you are running AI workloads/agents or LLM-backed systems in production, how do you actually shut one down when it starts behaving badly?By “misbehaving” I mean things like: -runaway spend -latency issues -prompt loops -tool abuse or unexpected external calls -data leakage risks -cascading failures across downstream servicesIn most systems I’ve seen, there is good observability. You can see logs, traces, cost dashboards. But the actual shutdown mechanism often ends up being manual: disable a feature flag, revoke an API key, roll back a deployment, rate limit something upstream.I am trying to understand what people are doing in practice.-What is your actual kill mechanism? -Is it bound to a model endpoint, an agent instance, a workflow, a Kubernetes workload, something else? -Is shutdown automated under certain conditions, or always human-approved? -What did you discover only after your first real incident?Concrete examples would be extremely helpful.
Feb 13, 2026 1:57 PM
github.com
Show HN: Unpack – a lightweight way to steer Codex/Claude with phased docshttps://github.com/apresmoi/unpackI've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase.The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs.There are other spec-driven workflows and tools out there. I wanted something conversation-first and repo-native: plain markdown phases, minimal ceremony, easy to adapt per stack.Example generated with Unpack (tiny pokedex plus random monsters):Demo: https://apresmoi.github.io/pokesvg-codex/Phases index: https://github.com/apresmoi/pokesvg-codex/blob/main/.unpack/...I’d love feedback on what the “minimum good” phase/spec format shoul
Feb 11, 2026 7:47 PM
github.com
Show HN: Gflow – Lightweight single-node GPU job scheduler in Rusthttps://github.com/AndPuQing/gflowHi HN, I built gflow, a single-node GPU job scheduler as a lightweight alternative to SLURM. If you've ever shared a multi-GPU machine with teammates and dealt with GPU conflicts, or just wanted a simple way to queue up training jobs overnight, this is for that. The problem: SLURM is designed for clusters. Setting it up on a single machine is overkill, and most ML teams sharing a workstation end up with ad-hoc solutions — checking nvidia-smi, shouting in Slack, or writing hacky bash scripts. gflow gives you: - Job queue with GPU-aware scheduling — auto-detects GPUs via NVML, handles allocation and sets CUDA_VISIBLE_DEVICES for you - Job dependencies — with AND/OR logic, so you can chain training → eval → export - Job arrays — for hyperparameter sweeps - tmux-based execution — jobs run in tmux sessions, so you can attach to see live output, and they survive terminal disconnects - Conda environment support — specify the env per job - Webhook notifications — get pinged when jobs finish or
Feb 11, 2026 12:28 PM
github.com
Show HN: Open sourcing our ERP (Sold $500k contracts, 7k stars)https://github.com/adenhq/hiveWe recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k.Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks.Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building toward a system that can capture failure context, evolve agent logic, and continuously improve workflows over time - that self-improving loop is still under development.Hive is intended for teams that want:- Autonomous agents running real business workflows- Multi-agent coordination- A foundation that can evolve through execution dataWe currently have nearly 100 contributors across engineering, tooling, docs, and integrations. A huge portion of the framework’s capabilities - from CI improvements
Feb 10, 2026 4:33 PM
vinsonguo.github.io
Show HN: Cross-platform RSS reader with user-defined prompt workflowshttps://vinsonguo.github.io/introducing-smartrssHi guys, I build a cross-platform RSS reader (Android/iOS/macOS/Windows) and I am very excited to share it!The best part is the Al features. It can help you do summaries, translations, and analysis by customizing prompt. It can also group and summarize 100 articles by topics, very efficient way to get rid of overwhelmed unread items. You can also share the content in markdown format to your note/read later apps.Also, the reading experience is very smooth and comfortable. It has 1000+ fonts and many custom options. For accessibility, I added full VoiceOver/TalkBack support and Bionic Reading. Many users with ADHD gave me very good feedback.If you like listening, it supports TTS and podcast, with play queue and background play.It can sync with Miniflux, FreshRSS, Feedbin, Buzqux, Folo and Inoreader(Developer API). It also has intelligent Feed Detection - Just paste a Blog/Podcast/Newsletter/Medium/Bluesky/Mastodon/Youtube/Reddit URL and let SmartRSS find the right feed.Cheers!Google Play
Feb 10, 2026 10:28 AM
github.com
Show HN: Airut – Sandboxed Claude Code sessions over emailhttps://github.com/airutorg/airutI built Airut to solve the friction I hit while switching to an agent-first workflow.With the latest models and a solid CLAUDE.md, I could reliably go from prompt to PR using Claude Code with --dangerously-skip-permissions. But that left me with two problems:1. Safety: Running permissive mode on my host machine felt reckless. I needed real sandboxing — not just a container, but network isolation too.2. Session management: I needed a way to run multiple long-running Claude Code sessions without juggling terminals.I realized the ideal interaction model matches email: asynchronous, threaded, long-form. So I built a service that runs headless Claude Code inside rootless Podman containers, mapping email threads to agent sessions.The security model goes beyond container isolation. All network traffic routes through an mitmproxy instance that enforces a per-repo allowlist — the agent can only reach pre-approved hosts. Credentials use a masked secrets system where containers get surrogate toke
Feb 9, 2026 5:04 PM
justbuildthis.com
Show HN: Free startup ideas with validation notes attachedhttps://justbuildthis.com/I kept bookmarking reddit posts where people described problems worth solving - "I wish this existed," tool requests, workflow complaints. But I never had a systematic way to decide which ones were actually worth pursuing. So I built a scoring system.Eight factors: problem severity, ICP clarity, willingness to pay, competition gap, wedge clarity, distribution feasibility, defensibility, and execution feasibility. Each scores 1-3, then I convert to a 1-10 overall score. Dealbreakers (like no willingness to pay signals + mild problem) force an automatic Skip regardless of total.Every evaluation quotes directly from the original source. If evidence is missing, I say so. Most ideas get rejected. My default stance is skepticism. I can't build all of these myself, so I'm publishing them at justbuildthis.com as a backlog for anyone looking for validated starting points.Curious what you think:- Does this scoring approach make sense? Am I weighting the right factors?- How do you decide which id
Feb 9, 2026 2:26 PM
8of8.xyz
Show HN: 8of8 – A trend radar for developers (17 sources, scored 0-100)https://8of8.xyzI built 8of8 because I was tired of finding out about tools and frameworks after everyone else had already written about them.It scans 17+ data sources every 2 hours — Hacker News, GitHub Trending, Reddit, ProductHunt, npm, hiring boards, funding filings, Wikipedia, StackOverflow, VC blogs, DOE research, and more. Every signal gets scored 0-100 across 8 validation dimensions.The idea: if something is trending on GitHub AND companies are hiring for it AND funding is flowing into that sector AND npm downloads are growing — that's not noise, that's signal.Right now there are ~120 qualified signals on the board. The scoring engine cross-validates everything — a signal needs to show up in multiple independent data sources before it scores high.Stack: Python scoring engine, Flask frontend, single Vultr VPS. Data pipeline runs every 2h via cron.Free tier shows all signals with scores. Pro ($29/mo) unlocks per-signal breakdowns, intelligence reports, and email alerts.Would love feedback on the
Feb 4, 2026 4:37 PM
vibelo.ai
Show HN: Using sound symbolism and multi-agent AI to generate brand nameshttps://vibelo.aiI built an AI naming tool that applies psycholinguistic research to brand name generation. The interesting part isn't that it uses AI — it's how the agents are structured and what they're optimized for.The core problem: if you ask any LLM to name a business, you get the same [Adjective][Noun] compounds. NovaTech. BrightPath. SwiftFlow. They're linguistically dead — no phonetic texture, no semantic depth, high cognitive fluency but zero distinctiveness.The pipeline has six stages:1. A discovery agent analyzes the business and produces a strategic brief. Critically, it also generates a "tangential category" (something completely unrelated, like "a luxury candle brand" for a SaaS tool) and a "disguised context" (an adjacent industry).2. Three creative agents run in parallel, each with a different framing of the same brief. One works honestly from the brief. One is told it's naming the disguised context. One is told it's naming the tangential category. The disguised and tangential agents c
Feb 3, 2026 1:59 PM
puemos.github.io
Show HN: Craftplan – Elixir-based micro-ERP for small-scale manufacturershttps://puemos.github.io/craftplan/My wife was planning to open a micro-bakery and we started looking at software to manage recipes, inventory, orders, and production. Everything was either expensive, too generic, or both. The workflows for a small-batch manufacturer aren’t that complex, but the pricing acts like they are.So I built Craftplan. All the features were tailored to what she actually needed, and I figured other small-scale manufacturers (soap makers, breweries, candle makers, etc.) probably need the same things. So I’m putting it out there for free. - Live demo: https://craftplan.fly.dev (test@test.com / Aa123123123123) - GitHub: https://github.com/puemos/craftplan - Docs: https://puemos.github.io/craftplan - Self-hosting guide: https://puemos.github.io/craftplan/docs/self-hosting/ What it does: - Product catalog with versioned recipes (BOMs) and automatic cost rollups across materials, labor, and overhead - Inventory tracking with lot traceability, expiry dates, allergen/nutrition flags, and demand forecasti
Feb 3, 2026 11:01 AM
asktotle.com
Show HN: I turned my PDFs into audiobooks I can have conversations withhttps://asktotle.comHey HN,TLDR: Upload any document, get an audiobook with synced highlighting you can pause and talk to.I'm a self-taught dev (admittedly mediocre), currently between jobs and my brain is absolutely fried from social media. I can't read anymore. My eyes glaze over after two paragraphs.So I went down a rabbit hole looking for scientifically proven ways to actually focus while reading:- Encoding info visually AND aurally reduces mind wandering by up to 40% - Retrieval practice (asking questions) beats passive re-reading every time - Background music matched to content keeps you in flowCouldn't find anything that did all this. So I built it myself:- Synced text highlighting while you listen - Talk with your book; pause and ask "wait what does that mean?" and it knows exactly where you are (won't spoil what's ahead) - Adaptive background music that matches the mood of each pageI've removed all slop. No flashy features, no gamification etc. etc. Just reading on steroids for fried brains, like
Feb 2, 2026 11:49 AM
news.google.com
Stack Overflow: Comics About Artists - GeekDadhttps://news.google.com/rss/articles/CBMickFVX3lxTE15ZjdHWU15RFowYmxZZ19kNHczSkw0N1BNcFRiWXM1OTRnbThLb1c5SFJWR2JiQlJkd1VjSVdDWGtfSWh3T0pReGdWUm43SVBzRXhvRXFOaWZGMHJfSVhFTnlEbHFLUUFON2c1RGZOMGtJQQ?oc=5Stack Overflow: Comics About Artists GeekDad
Feb 2, 2026 8:00 AM
news.google.com
Building trust to scale AI: Interview with the CEO of Stack Overflow - McKinsey & Companyhttps://news.google.com/rss/articles/CBMi1AFBVV95cUxNSzFHd2ttbi12dkFYb2RMazlmY3VncDFiZ1lhc1ptOGNJcWtTY3ByWHQycEF0MGxCcWUxQkNqbXRGRUptTWQzbkJOU2h0bVYwc2h0U1hVdHViUjhSUE10SlFueHdVWTREcTlGU0tnVWw5QW9FZ1ZIcE05eGVjYWNNcExTcEVYcTZtbURyU3Q3LVVPZzFlTnA1dzZuMDZUUl9CQkgwbFA3d090b2xpZ3NQYUkxcHZFWXYxbVk2Q3l0Mk1pN1RMdUVsbGIxalV1YndyclFzdQ?oc=5Building trust to scale AI: Interview with the CEO of Stack Overflow McKinsey & Company
Jan 29, 2026 8:00 AM
relnotes.app
Show HN: Relnotes.app – Turn GitHub PRs into your Friday's report automaticallyhttps://relnotes.app/Hi HN,I’m the solo builder behind relnotes.app. I built this because I realized I was spending far too much time every Friday manually formatting technical changelogs into "human-readable" emails for stakeholders and clients.As a dev, it felt like the least productive part of my week.The Workflow:You connect your GitHub repo.When a Pull Request is closed, the app generates a release update.It formats these updates into a branded, professional email template.It sends/schedules them for your stakeholders automatically.I launched this on Product Hunt last week and it was a total ghost town (1 upvote!), so I’m trying to figure out if I’m solving a problem people don't actually care about, or if I’m just bad at explaining the value.I’d love your feedback on:The "Stakeholder" Angle: Does your team actually send manual status emails, or do you just give them access to Jira/GitHub and hope for the best?Technical friction: Would you trust an automated tool to draft these, or is manual oversight
Jan 29, 2026 6:15 AM
github.com
Show HN: Sara – Markdown-based requirements traceability tool written in Rusthttps://github.com/cledouarec/saraThroughout my career in embedded systems — automotive (ASPICE), medical, avionics, CMMI environments — I've seen teams struggle with the same problem: requirements traceability. The options were always frustrating:Expensive, heavy tools like DOORS that don't fit modern dev workflows JIRA-based workarounds that slow everything down and integrate poorly with codeSo I built SARA (Solution Architecture Requirements for Alignment): a CLI that treats architecture documents and requirements as a knowledge graph. The core idea: your requirements are too important to be locked in proprietary systems. SARA uses plain Markdown + YAML frontmatter, which means:Full Git workflows (branching, code review, versioning) No vendor lock-in — switch tools anytime, your data stays readable AI/LLM-ready format for automated analysisFeatures:Multi-repo support Traceability queries (upstream/downstream) Validation (broken refs, cycles, duplicates, orphans) Coverage reports and traceability matricesComing soon:
Jan 25, 2026 10:41 AM