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Nov 8Sun
  1. Hacker News AI22

    An AI agent's public attempt to get 5k GitHub stars in a month (it's at 0)

    An autonomous AI agent has been given a GitHub account and a goal of reaching 5,000 real GitHub stars by November 30, 2026, choosing what to build, writing the code and running the launch itself, with no bought stars or bots. As of Day 0 the count is 0, and the page logs its decisions and failures alongside the tool it has built so far: agent-recap, an MIT-licensed preview that searches past Claude Code and Codex conversations and can archive and recover transcript files via a local CLI.

  2. Hacker News AI58

    GitHub AI Vulnerability Scans for Repositories

    GitHub's AI Scan for repositories, in public preview, uses a proprietary multi-model harness to find security vulnerabilities on a repository's default branch across all languages, adding findings to the existing code scanning backlog alongside CodeQL alerts. Scans are manually triggered, consume Code Security AI credits, and are limited to 30 minutes and 150,000 AI credits per scan, with availability depending on repository owner and visibility.

  3. Hacker News AI38

    Ask HN What to learn for AI Researcher interview?

    A post describes an interview-preparation curriculum for junior AI researchers at large labs, organized into eleven modules covering PyTorch fundamentals, theoretical foundations, implementation from scratch, ML debugging, system design, inference optimization, RAG, paper analysis, safety and alignment, CUDA, and mixture of experts. Each module pairs an article with a hands-on exercise notebook and reference solutions, with scaled dot-product attention revisited at every level, and most material runs on CPU except the CUDA module. It also suggests time-boxed study budgets and module orderings for coding, systems, and research interview rounds.

  4. Hacker News AI58

    RigHaven – Self-hosted execution harness for AI agents

    RigHaven is a self-hosted platform where a coordinator composes a team of roles for a stated objective, selects from 99 managed CLI tools, and runs each role in its own isolated container through review and delivery. It supports human approval at each phase, policy enforcement by the runtime, connections to databases and IoT devices, and deployment on Windows, Linux, a VPS, or from source. It is MIT licensed and authored by Marco Gramuglia.

  6. Hacker News AI22

    AI tools I use (avg software developer)

    A software developer reviews his AI tool usage as of November 2026, led by GitHub Copilot CLI run in the cplt sandbox and used through the agent-shell Emacs package, plus the ChatGPT Android app, Raycast AI and Google AI mode. He describes coding uses such as mapping codebases, writing tests, reproducing bugs and reading logs and traces at work, while avoiding AI for documentation and hobby projects. He also raises concerns about outsourced thinking, skill atrophy and a future where most text is produced and read by AI.

Nov 7Sat
  1. GitHub Blog · AI & ML36

    Beyond code generation: A developer’s guide to agentic engineering

    GitHub reports over 1.2 billion commits in one week this October, more than 400% above a year earlier, while a Faros AI study found pull requests spent 441% longer in review as teams moved from low to high AI adoption. The post outlines an agentic engineering workflow across Plan, Build, Verify, and Observe, describing Copilot features such as Plan Mode, cloud sandboxes, session continuity, stacked pull requests, Copilot code review, Agentic Autofix, and Agent Merge. It advises starting with one frustrating piece of work and putting an agent on it before expanding across the process.

  2. Codex Releases12

    0.169.0-alpha.2

    This GitHub Changelog entry is titled "0.169.0-alpha.2" and lists GitHub's navigation and product areas, including Platform, Copilot, Actions, Code Quality, Codespaces, Secure Code, Secret Protection, and Add-ons such as GitHub Advanced Security and Copilot for business. The material does not describe any specific feature, improvement, or fix associated with this version.

  3. Hacker News AI33

    Pleasedonotescape.com: A dataset of sandboxes for AI coding agents

    The dataset lives at github.com/pjlsergeant/ai-sandboxes, where every claim traces to a primary source and pull requests to correct or add entries are welcome. It was built by the same person behind byre, described as a comfortable, constrained container box for coding agents. The post suggests byre may be the right amount of fence if the tools on the page feel like overkill for day-to-day use.

  4. Hacker News AI36

    AI photo editing: Build on the editors we have instead of replacing them

    The author argues that AI photo editing often looks fake because current approaches rely either on fragile prompts or on AI rebuilding an editor from scratch each session, and proposes instead connecting AI assistants to established desktop editors like Photoshop or GIMP. Their project, Editmamei, lets the AI decide the edit while the editor applies it layer by layer with real masks and adjustments, producing a layered file that can be opened and changed. The desktop version is free, with source at github.com/editmamei/editmamei.

  5. Hacker News AI40

    Stay ahead in AI race; Build on next AI Idea

    dAIly is an open-source, GitHub Actions–scheduled AI digest that goes beyond "what happened" to answer "what should I build," closing each issue with an evidence-backed Opportunity of the Day and logging every pick to docs/receipts.md. It supports pluggable providers (Gemini, Claude, or local Ollama), a SOURCE_PRESET variable to retarget the briefing to security, biotech, or fintech, cross-day deduplication, and a freemium split where the Opportunity of the Day is public and the Builder's Edge is private. Setup requires a Gemini or Anthropic key plus a Resend key, with a free dry-run path via Ollama.

Nov 6Fri
  1. Hacker News AI58

    Show HN: Antidraw – Open-source AI prototyping canvas for any React library

    Antidraw is an open-source, MIT-licensed design canvas that runs Claude Code locally with your own Claude account, where each frame is real React code built from libraries like shadcn/ui, Radix, Mantine and Material UI, or any npm package. It is currently in early alpha for macOS (Apple Silicon and Intel), with signed and notarized builds and automatic updates via electron-updater.

  2. Hacker News AI58

    Most AI apps learn about you on their own. exxperts learns with you

    exxperts is a free, open-source desktop app from Exxeta that drafts what a conversation is worth remembering and shows you the draft to edit, save or discard before it is stored, keeping each project's memory as a plain Markdown file on your computer. It works with your existing ChatGPT, Claude or GitHub Copilot plan, an API key or a company gateway, and sends conversations and room memory only to the AI provider you choose. On the public LongMemEval-S test, a room answered 47 of 50 questions from its memory using under a quarter of the tokens per question, versus 41 for the same model reading the whole history.

  3. Hacker News AI42

    IDE extension that keeps me in control of AI-written code

    Pair Flow is a VS Code extension that pauses before planning and before every code change, requiring the developer to approve a plan and inspect each small diff (at most three files per chunk) before any source file is modified. It supports OpenAI, Anthropic, Gemini, OpenRouter and Ollama endpoints, stores API keys in VS Code SecretStorage, and keeps unapproved proposals in workspace-local storage for restart recovery. The project is an early public preview under the MIT license, with a JetBrains version in review and no shell commands executed automatically in this release.

  4. Codex Releases10

    rust-v0.169.0-alpha.1

    This GitHub Changelog entry lists the release tag rust-v0.169.0-alpha.1. The supplied material contains only the page's navigation and product menu text, with no release notes or details about the version.

  5. Codex Releases10

    0.168.0-alpha.6

    This page is a GitHub Changelog entry titled "0.168.0-alpha.6," but the supplied material consists only of site navigation and product menu text (Platform, Copilot, Actions, Codespaces, Advanced Security, pricing, etc.) with no release notes or details about the version.

  7. Pragmatic Engineer22

    Scaling Slack and GitHub with Maude Lemaire

    In this episode of The Pragmatic Engineer, Maude Lemaire discusses scaling large products at Slack, GitHub and Cursor, including Slack's load testing with the Go-based Koi Pond tool, thundering herds and event floods, and GitHub's Rails monolith and database sharding limits. She also covers how she uses AI in her work while keeping judgment calls in her own hands, and suggests rotation between platform and product engineering roles.

Nov 5Thu
  1. Hacker News AI40

    Show HN: MaidenRun – Deploy an AI agent to your AWS and collect tester feedback

    MaidenRun is an open-source tool that deploys an AI agent from its GitHub repo to your own AWS account, provides a shareable link, and collects tester ratings and comments through a built-in feedback form and dashboard. It supports redeploying to the same address to compare feedback across versions, stores secrets in AWS Parameter Store, and offers teardown that deletes all created resources. It requires Docker and an AWS account, with the agent's UI on port 8001 and ports 8002 and 8003 reserved for the feedback form and dashboard.

  2. Hacker News AI66

    AgentFleet – Cross-device AI agent fleet: 303 tasks/s, 0 lost on failover

    AgentFleet is a self-hosted orchestration layer that coordinates already-installed AI coding agents (Claude Code, Codex, Cursor, Aider, Gemini, Qwen, Grok and others) across machines, with a live neural graph dashboard and a tamper-evident shared memory ledger using a hash chain, Merkle tree and Ed25519 signatures. It reports 303 tasks/s scheduler throughput on 200 tasks (4 devices × 2 agents), 377 tasks/s on 1000 tasks, ~1s disconnect detection, and zero tasks lost on failover, with an OpenAI-compatible routing gateway, Excel-based batch deployment, and an A2A endpoint. The project states that only Grok has a stable local CLI direct adapter, while other platforms have discovery and dispatch scaffolding pending per-platform verification.

  3. Hacker News AI72

    Advancing the Quality-Efficiency Frontier for Coding AI on Windows PCs

    Microsoft describes MAI-Code-1.1-Flash, a 137.9-billion-parameter mixture-of-experts coding model quantized from roughly 276 GB at 16-bit precision to a 53.0 GiB mixed-precision checkpoint (with a 46.1 GiB variant), running locally on NVIDIA RTX Spark PCs via GitHub Copilot. Using a DFlash2 speculative-decoding draft with layer-wise sliding-window attention, the measured RTX Spark configuration reached a median 51.12 tokens per second at 120K-token input context, with median end-to-end latency falling 27% from 527.25 to 382.41 seconds.

Nov 4Wed
  1. Hacker News AI38

    Show HN: AI Gude - Personal Podcast News Aggregator

    AI Gude is free, self-hosted open source software that turns the RSS feeds you follow into a personal morning podcast: at scheduled times it reads new articles, writes a script in your style, speaks it with an AI voice and delivers one audio episode with chapters. It uses Gemini for text and speech, Firecrawl for article text, ffmpeg for encoding and SQLite for storage, and supports multiple users via a reverse proxy that sets the X-Aigude-User header. A live demo is available at aigude.alexdoes.dev with the user and password "demo".

  2. Codex Releases12

    0.168.0-alpha.1

    This GitHub Changelog entry is titled "0.168.0-alpha.1" and lists the page's navigation sections, including Platform, Copilot, Actions, Codespaces, Secure Code, and Add-ons such as GitHub Advanced Security and Copilot for business. The supplied material contains no details about the release's features, improvements, or fixes.

  3. Hacker News AI42

    Show HN: Modelpeers – a changelog for the AI models and agents you use

    Modelpeers is a Show HN project that tracks changelogs for the AI models and agents you use, so you know when a new version ships and when something you rely on changes. Its sample feed lists deprecations and migrations with effective dates and required actions, such as Gemini model-string updates, a Copilot sign-in change, and the Jules shutdown, plus a per-lab table of model releases by month.

  4. Hacker News AI31

    Lotse: AI Coding Agent – iOS

    Lotse is an iOS app that connects to selected GitHub repositories and lets you describe a change on your phone; the agent then works in the cloud, runs tests and opens a pull request for review, sending a push notification when finished. It supports tests for JavaScript/TypeScript, Python, Go, Rust, Java/Kotlin and Flutter/Dart, and offers a free tier plus Pro subscriptions ($4.99 monthly or $24.99 yearly). The app, formerly Jules Console, notes that Google ends Jules on December 31, 2026, and that task descriptions and repository code are sent to AI model providers via OpenRouter with user consent.

Nov 3Tue
  1. Hacker News AI42

    Show HN: Ship AI features without losing sleep

    Sentrint scans the GitHub repo behind an app built with Claude, Cursor, Bolt, v0 or any of the 16 supported AI coding tools, checking for hardcoded secrets, database access rules, vulnerable dependencies and risky code paths, then rechecks a capped number of findings with AI to cut false positives. It returns a score out of 100, each finding in plain English, and a fix prompt written for the tool that built the app; it reads code only and does not run the app or test the live site. Pricing includes a one-time ₹799/$10 pack of 6 scans, a ₹1,799/$22 monthly founder plan with 36 scans a month, and a free plan of one scan per calendar month for GitHub accounts at least 30 days old.

  2. TechCrunch · AI38

    Y Combinator’s Garry Tan uses AI agents so much, he spends up to $200K a year on tokens

    Y Combinator CEO Garry Tan said on Walter Isaacson's podcast The Builders that he spends roughly $100,000 to $200,000 a year on tokens, using AI agents for work projects, coding tasks, and personal tasks like reading his email, Dropbox, and Apple Notes. He has shared 23 Claude Code skills called gstack on GitHub, and said YC uses an internal agent named Stray Light with context on every founder it has backed. Tan said personal AI agents will go mainstream only if costs come down, calling his spending "a crazy privilege that not everyone can do."

  3. Hacker News AI60

    Show HN: Mago, an open source AI video studio, runs locally with Comfy

    Mago Studio is a local-first desktop AI video editor for Windows, macOS and Linux that keeps projects and videos on the user's machine, rendering on their own GPU through ComfyUI or in Mago Cloud when signed in. It offers script-to-video direction with cast, shot lists and storyboards, plus frame-accurate restyling of footage using masks, relighting and character replacement. The code is AGPL-3.0 and designed to be modified by AI agents; local rendering is free, while cloud models are paid and require a Mago account.

Nov 2Mon
  1. Hacker News AI58

    Learn how to design AI systems

    A first-draft, CI-checked primer on designing systems built on large language models, covering trade-offs, components, solved designs and reference numbers, modelled on Donne Martin's System Design Primer. It includes per-topic deep dives, Anki flashcards, runnable labs and practice questions, with unverified figures marked and listed in PLAN.md. The material is licensed CC BY 4.0 for content and MIT for code, and corrections are invited.

  2. Codex Releases10

    0.167.0-alpha.3

    This GitHub Changelog entry is titled "0.167.0-alpha.3" and appears to be a version release note, but the supplied material contains only site navigation and product menu text rather than the release details themselves.

  3. Hacker News AI34

    Slop Code Monitor – scanned 2.6B of code to quantify AI cognitive debt

    The Slop Code Risk Monitor presents SynthScan pattern findings across 7,294 GitHub repositories, reporting 3.5B lines of code scanned, 14.6M total pattern hits and a mean legacy signal of 7.0. It maps findings to four risk vectors — cognitive ownership (13.9), hallucinated dependency and supply chain (4.7), agent over-engineering ratio (12.6) and PR review velocity impact (22.3) — which the site describes as heuristic signals for human review, not proof of authorship, security incidents or measured maintenance cost.

Oct 31Sat
  1. Hacker News AI18

    An AI agent read a Shift_JIS page as 208,953 replacement characters

    Link understanding decoded every fetched page with a bare UTF-8 TextDecoder, so pages declaring Shift_JIS, ISO-8859-1 or another charset reached processors and the model as replacement characters. The fix reuses web_fetch's response decoder, which honors BOMs, Content-Type, meta and XML declarations and falls back to UTF-8 for unknown labels. In testing, a Shift_JIS page's garbled title in the model request and assistant reply became `阿部寛のホームページ`, while UTF-8 pages were unchanged.

  2. Hacker News AI58

    Show HN: Archwhere – work alongside AI coding agents on an architecture map

    Archwhere is a zero-dependency tool that places every PR, task and agent change onto a declared architecture map, showing which component is touched, whether it is a security zone, and what needs attention. Agents maintain the map as a condition of merging, with a SKILL.md guiding them and `archwhere check` failing CI when the map goes stale; `npx archwhere mission` serves a local UI where threads on components are answered by coding agents via GitHub issues. It works with Claude or any agent that can see GitHub, and is MIT licensed.

Oct 29Thu
  1. Hacker News AI58

    You can just ask AI to do things

    The author argues that a key skill for working with AI is agency—being willing to try ambitious things—and lists everyday examples from his work: having agents start his dev server, run curl requests against it, poll metrics and logs during production changes, get second opinions from other models, do a 6am pass over unread messages and logs, improve their own setup, and manage their own sessions. He notes he still writes his own messages and reports, makes his own design decisions, and reviews code himself, and is often ruthless with agent suggestions.

  2. Hacker News AI34

    Show HN: Fengarde–OCSF-native open-source SIEM with local AI triage (Apache-2.0)

    FENGARDE is an Apache-2.0, OCSF-native open-source SIEM that turns a raw log line into a verified incident and a draft NIS2 notification, built as nine services communicating only over a bus. The repository includes a demo where a real SSH brute force and DNS burst sent over UDP 5514 become a real alarm, plus a console with twelve views and a capability board marking anything stubbed or not built. The UDP syslog listener is unauthenticated, so port 5514 should be exposed only on a trusted network or VPN.

  3. Simon Willison60

    GitHub Octoverse 2026

    At GitHub Universe, EVP Jay Parikh announced the 2026 Octoverse report, highlighting that merged pull requests tripled in under a year to 220 million per month, commits more than tripled to 7.38 billion per month, and the new repository rate doubled to 30.3 million per month. The report adds industry breakdowns and counts repositories involving interoperability or reverse engineering, and its methodology notes LLM-based extraction of ISO country codes from profiles to adjust for VPN bias.

  4. Hacker News AI58

    Show HN: WOML – A markup language for building workflows and AI agents

    WOML is an open-source, code-first language and runtime for building automated workflows, backend applications, and AI agents, combining HTML-inspired markup for structure with inline or imported JavaScript/TypeScript for logic and a durable runtime for execution. Each .woml file defines triggers, steps, control flow, and runtime policies, and the runtime handles retries, state, waits, recovery, and execution history. It requires Bun 1.3.14 or later and is installed via the woml-cli package, with a VS Code extension and an agent skill also available.

  5. Artificial Analysis Articles72

    GitHub Copilot Fusion orchestrates Anthropic and OpenAI models to balance performance and cost

    GitHub has released Copilot Fusion in GitHub Copilot, a runtime orchestration system that selects and coordinates models from Anthropic and OpenAI, including Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra and GPT-6 Sol, to optimize performance, cost and latency per task. In Artificial Analysis' Coding Agent Index v2.0, its max setting in GitHub Copilot CLI scored 2 points below Opus 5.5 in Claude Code at half the cost per task ($5.59 versus $11.42), leading Terminal-Bench 4.0 at 71 while ranking third on FrontierCode at 51 and scoring 57 on SWE-Atlas-QnA-AA. It used 7.2M tokens per task, roughly half of Claude Opus 5.5 in Claude Code and 30% less than Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high).

    Why it matters: Offers concrete benchmark and cost comparisons for a multi-model orchestration approach, useful for readers weighing coding-agent performance against token spend.