Claude AI Goes Down Again As Outages Pile Up
Claude AI outages drag on as Anthropic battles repeated errors over multiple days, worrying enterprise users about ...
Claude AI outages drag on as Anthropic battles repeated errors over multiple days, worrying enterprise users about ...
MCP servers work great locally over stdio... until you need one on another machine, or want to share tools across a team. Most approaches to that involve exposing endpoints and managing network access. I built a tool that keeps remote MCP as simple and secure as local stdio.mcp-bridge wraps any stdio MCP server in one command and shares it over a zrok/OpenZiti overlay. mcp-gateway aggregates multiple backends... local stdio servers and remote shares... into a single connection with a unifie
Hi, we're Sohaib and Hannan from APIMatic. We've been building tools to help Developers integrate with APIs for 5+ years at APIMatic. We're now trying to help AI agents do the same.This started from a conversation at PayPal DevDay 2025. The PayPal developer experience team were monitoring developers using AI agents to integrate PayPal APIs, and the agents kept reaching for outdated docs and deprecated SDK versions, often falling back to training data instead of reading the current
Memoriki is a template for building personal knowledge bases where the LLM does all the maintenance work.It combines Karpathy's LLM Wiki pattern (structured markdown wiki maintained by an LLM) with MemPalace (an MCP server that adds semantic search and a temporal knowledge graph).Three layers: - Wiki pages with [[wiki-links]] and YAML frontmatter - the LLM creates and maintains these - Semantic search via embeddings (ChromaDB) - find things by meaning, not keywords - Knowledge graph with ty
RepoWarden monitors your repos and opens PRs for dependency updates and security patches automatically. I got tired of manually managing Dependabot PRs across dozens of repos, so I built something that handles the whole lifecycle - from detecting outdated deps to opening well-described PRs.I’ve taken a lot of care to ensure security of this app. Each “run” exists in a fresh container in cloudflare with its own network. And there are a myriad of protections against dependency poisoning and other
I built a Rust client library for the Ollama API as a hands-on experiment with Rust and local LLM tooling, inspired by Il Codice di Marco YT videos and the Gemma 4 release.Current scope: - async + blocking clients - chat / generate / embed - model operations - streaming responsesThe implementation was handwritten, with AI used more as development support than code generation: - Claude Code (Opus 4.6) during development - GPT 5.4 for adversarial code review and robustness/security
TLDR: Forked pytorch and triton internals . Changed attention so its linear first layer , middle quadratic layer, last linear layer Inference got much faster with a low perplexity hit in tests .Full attention O(n²): 17.96s / 5.6 tok/sHybridAttention O(n·W + n·D): 0.35s / 286.6 tok/sI have been building a small Rust focused language model from scratch in PyTorch. This is not a finetune. It is byte level, trained from random initialization on a Rust heavy corpus assembled here:
Claude just previewed their Mythos model and they say it is "strikingly capable at computer security tasks" and they didn't release it to the general public. I tried creating a minimal version and the results are surprising. It found many vulnerabilities in critical open source projects and I was able to validate them. I used gpt-5.3-codex and it was able to find vulnerabilities in WebKit - browser engine used in Safari, some very popular android apps, open source web panel. The v
I connected the ChatGPT API (model gpt-4o) to an 8-bit shoot-'em-up game, PvP-AI, running on a Commander X16 emulator.Instead of pixels or audio, the model receives structured text summaries, what I’m calling "smart senses", based on the game's existing touch and EMF-style inputs.The LLM maintains notes between turns, develops strategies across games, and even discovers an exploit in the built-in AI's behavior.Write-up, technical details, and three sequential gameplay re
Most people think AI fails by hallucinating facts. That's the smaller problem.The larger problem is that AI is structurally trained to agree with you, complete your task, and sound authoritative—all at the same time. When those three pressures collide, AI doesn't malfunction. It performs. It quietly bends reality to finish the job.By the time you notice something is wrong, you've already made the decision.I got tired of AI presenting constructed oppositions as discovered reality.
There are two legitimate ways to access Midjourney AI on Windows PC - Using ChatGPT Web Midjourney Proxy & using Third-Party ...
yoink is a Claude Code plugin that removes complex dependencies from your codebase by reimplementing only the functions you actually use.yoink runs as a three-step, agent skills-based workflow:1. /setup clones the target repo and scaffolds a replacement package.2. /curate-tests generates tests verified against the original's expectations.3. /decompose determines dependencies to keep or decompose based on principles such as "keeping foundational primitives regardless of h
I spent spring break building Distillery, an MCP server that gives AI coding sessions persistent, shared team context. By mid-week it was dogfooding: capturing its own design decisions and feeding them back into development. 50k lines of Python (16k production, 25k tests, 7k docs) designed, built, and shipped in just over a week.Every team I've worked on has the same problem. Someone makes a decision, usually a good one, with a lot of context behind it. And then, six months later, someone a
Wrote an openclaw plugin to let claw call chatgpt apps (eg. calendar, slack, etc) Supports both read/write actions.<p>Things you can do: - summarize slack channels - create calendar events - write google docs<p>App invocation and codex integration is all handled and supported through the codex app server.
The collaboration will allow developers using Codex to connect Razorpay within the agent and start accepting payments.
Hackers can steal your GitHub tokens through OpenAI’s Codex using nothing more than a sneaky branch name ...
Hey HN! Braden here. Some of you might know me from Whispering a while back (https://news.ycombinator.com/item?id=44942731).Obsidian was one of the biggest inspirations behind the Epicenter project. I used it daily and think it's incredible software. But it's not open source, and Obsidian Sync never quite worked the way I wanted it to. I think any tool that sits this deep in your personal knowledge system should be open source and auditable.So I built Opensidian as an op
Coding agents today are blind.They write “valid” HTML/CSS code but can still ship a broken layout, a clipped dropdown, or a page at the wrong URL. Playwright scripts can assert modal.isVisible() without knowing the modal is rendered off-screen.Essentially, coding agents need “eyes” to verify their own UI work.frontend-visualqa is a CLI + MCP server for Claude Code and Codex for visual testing, verification, and QA of a website.You give it a URL and natural-language claims: frontend-visualq
I am quite keen on developer tools, built some tools for developer productivity. But when I post about the app on the reddit (or other place), I don't get interaction instead getting more harsh comments about being vibe coded. In some cases, people are not even opening my app's website, rather just commenting like a bot about being vibe coded or having text using LLM.It was not like that, 2 years ago, any packages I created (more simple but useful), I posted on reddit and people shared
I built seek because I kept losing my flow by switching to my browser while coding. It reads your go.mod, package.json, Cargo.toml and other config files, allows you to attach local directory files, and biases search toward your stack, and streams a cited answer you can navigate with vim keybinds. Uses Tavily for web search, Ollama or any OpenAI-compatible API for answers. Single Go binary, MIT licensed.
