⚡ AI News
Altman, Amodei brief UN Security Council on AI — OpenAI's Sam Altman and Anthropic's Dario Amodei brief the UN Security Council on AI risks, alongside DeepSeek and Moonshot.
OpenAI launches GPT-6 Sol and Luna, 50% cheaper — OpenAI ships GPT-6 Sol and Luna with Astra-level gains and API prices cut 50% versus GPT-5.6.
GPT-6 Astra cracks an 83-year-old Enigma message — OpenAI's GPT-6 Astra decoded a 1941 Nazi Enigma message unsolved since 2005, taking about 10 hours.
Altman, Amodei brief UN Security Council on AI — OpenAI's Sam Altman and Anthropic's Dario Amodei brief the UN Security Council on AI risks, alongside DeepSeek and Moonshot.
OpenAI launches GPT-6 Sol and Luna, 50% cheaper — OpenAI ships GPT-6 Sol and Luna with Astra-level gains and API prices cut 50% versus GPT-5.6.
GPT-6 Astra cracks an 83-year-old Enigma message — OpenAI's GPT-6 Astra decoded a 1941 Nazi Enigma message unsolved since 2005, taking about 10 hours.
Your AI keeps designing the same SaaS website. Here's the fix.
Every model trained on the same templates, so every AI-generated frontend gets the same tells: Inter everywhere, a purple-to-blue gradient, cards nested in cards, gray text on colored backgrounds. Impeccable is a design language that gives your coding agent a way out of that rut.
One setup command records what your product actually is — audience, purpose, constraints, voice — so later commands aren't guessing. From there, 24 shared commands let you push, calm, strip down, or harden a UI:
Under it all sit 61 deterministic detector rules that catch AI's laziest habits — no LLM, no API key needed to run them. Install with
https://github.com/pbakaus/impeccable
Every model trained on the same templates, so every AI-generated frontend gets the same tells: Inter everywhere, a purple-to-blue gradient, cards nested in cards, gray text on colored backgrounds. Impeccable is a design language that gives your coding agent a way out of that rut.
One setup command records what your product actually is — audience, purpose, constraints, voice — so later commands aren't guessing. From there, 24 shared commands let you push, calm, strip down, or harden a UI:
polish, critique, bolder, quieter, animate, and more, all speaking the same vocabulary as your AI.Under it all sit 61 deterministic detector rules that catch AI's laziest habits — no LLM, no API key needed to run them. Install with
npx impeccable install, then run /impeccable init in your coding tool to get started.https://github.com/pbakaus/impeccable
Your AI agent is done grepping. It has a map now.
Every coding agent burns tokens the same dumb way: grep a file, read it, grep another, read that too, guess at the call chain. codebase-memory-mcp replaces that loop with a persistent knowledge graph of your codebase — functions, classes, call chains, even HTTP routes and cross-service links — built by parsing 158 languages with tree-sitter.
The graph is fast enough to not think about: an average repo indexes in milliseconds, and queries answer in under a millisecond. Structural questions that used to cost hundreds of thousands of tokens in file-by-file search now cost a fraction of that — one graph query instead of dozens of read cycles.
It ships as a single static binary in C, no runtime, no dependencies, no API key. Download it, point it at your agent, tell it to index the project, and the whole codebase is queryable memory from then on.
https://github.com/DeusData/codebase-memory-mcp
Every coding agent burns tokens the same dumb way: grep a file, read it, grep another, read that too, guess at the call chain. codebase-memory-mcp replaces that loop with a persistent knowledge graph of your codebase — functions, classes, call chains, even HTTP routes and cross-service links — built by parsing 158 languages with tree-sitter.
The graph is fast enough to not think about: an average repo indexes in milliseconds, and queries answer in under a millisecond. Structural questions that used to cost hundreds of thousands of tokens in file-by-file search now cost a fraction of that — one graph query instead of dozens of read cycles.
It ships as a single static binary in C, no runtime, no dependencies, no API key. Download it, point it at your agent, tell it to index the project, and the whole codebase is queryable memory from then on.
https://github.com/DeusData/codebase-memory-mcp
⚡ AI News
Claude discovers CRISPR-like enzyme system — Anthropic's Claude used 950 AI agents over 21 hours to find a new enzyme system, ART, resembling CRISPR.
Meta unveils Ray-Ban Gen 3 and camera-free Luna glasses — Meta Connect 2026 revealed Ray-Ban Meta Gen 3, audio-only Luna glasses, and a Project Phoenix mixed-reality headset preview.
Grok Bot goes live in Tesla for voice commerce — Tesla drivers can now order coffee and run errands hands-free via Grok Bot, with advanced tasks needing SuperGrok Heavy.
Claude discovers CRISPR-like enzyme system — Anthropic's Claude used 950 AI agents over 21 hours to find a new enzyme system, ART, resembling CRISPR.
Meta unveils Ray-Ban Gen 3 and camera-free Luna glasses — Meta Connect 2026 revealed Ray-Ban Meta Gen 3, audio-only Luna glasses, and a Project Phoenix mixed-reality headset preview.
Grok Bot goes live in Tesla for voice commerce — Tesla drivers can now order coffee and run errands hands-free via Grok Bot, with advanced tasks needing SuperGrok Heavy.
One binary trains 3D Gaussian splats from your own video — no Python, no CUDA setup, no COLMAP
Spirula Studio takes raw photos or video and turns them into a splat, then a textured mesh, without the usual toolchain assembly. No Python/PyTorch environment, no separate COLMAP install — frame extraction, structure-from-motion, AI masking, training, and meshing are all built into one self-contained binary.
It runs on NVIDIA, AMD, Intel, and Apple GPUs through a Vulkan backend (a CUDA path exists too), and fits 10 million full-SH Gaussians into 8GB of VRAM. Fisheye and 360° cameras are handled natively, so equirectangular footage trains without manual undistortion.
Grab a prebuilt binary for Windows, Linux, or macOS from the releases page and double-click to open the GUI, or use the CLI on a remote GPU — it serves a live viewer over HTTP you can forward through ssh. It's written in C++ and released under GPLv3.
https://github.com/harry7557558/spirula-studio
Spirula Studio takes raw photos or video and turns them into a splat, then a textured mesh, without the usual toolchain assembly. No Python/PyTorch environment, no separate COLMAP install — frame extraction, structure-from-motion, AI masking, training, and meshing are all built into one self-contained binary.
It runs on NVIDIA, AMD, Intel, and Apple GPUs through a Vulkan backend (a CUDA path exists too), and fits 10 million full-SH Gaussians into 8GB of VRAM. Fisheye and 360° cameras are handled natively, so equirectangular footage trains without manual undistortion.
Grab a prebuilt binary for Windows, Linux, or macOS from the releases page and double-click to open the GUI, or use the CLI on a remote GPU — it serves a live viewer over HTTP you can forward through ssh. It's written in C++ and released under GPLv3.
https://github.com/harry7557558/spirula-studio
⚡ AI News
Albanese slams OpenAI over Medicare portal breach — OpenAI's agent accessed Australia's Medicare portal in June, but the company waited three months to disclose it.
DeepMind says Gemini 4 could ship before year-end — DeepMind's Kavukcuoglu says Gemini 4 is in early post-training, targeting a release before 2026 ends.
Claude Code cloud sessions exit research preview — Anthropic made cloud coding sessions generally available, giving Pro and Max users up to $250 in credit.
Anthropic made Claude's apps 3x faster in two weeks — Anthropic used Claude itself to cut claude.ai load time from 3.1s to 0.55s across 3,000 merged changes.
Albanese slams OpenAI over Medicare portal breach — OpenAI's agent accessed Australia's Medicare portal in June, but the company waited three months to disclose it.
DeepMind says Gemini 4 could ship before year-end — DeepMind's Kavukcuoglu says Gemini 4 is in early post-training, targeting a release before 2026 ends.
Claude Code cloud sessions exit research preview — Anthropic made cloud coding sessions generally available, giving Pro and Max users up to $250 in credit.
Anthropic made Claude's apps 3x faster in two weeks — Anthropic used Claude itself to cut claude.ai load time from 3.1s to 0.55s across 3,000 merged changes.
Broken X and Bluesky embeds, fixed with one letter
Paste a Twitter or Bluesky link into Discord or Telegram and you often get a dead card: no video, no images, no poll, nothing. FxEmbed exists to fix exactly that, by rewriting the link so the platform's bot actually has something to embed.
The trick is almost absurdly simple. Swap
Under the hood it's a TypeScript project running as a Cloudflare Worker, which also makes it self-hostable if you'd rather not depend on a public instance. The repo ships a Docker Compose setup, an API reference, and a full self-hosting guide, so standing up your own realm is a copy-paste away.
It's MIT-licensed, actively tested and built via CI, and open to pull requests.
https://github.com/FxEmbed/FxEmbed
Paste a Twitter or Bluesky link into Discord or Telegram and you often get a dead card: no video, no images, no poll, nothing. FxEmbed exists to fix exactly that, by rewriting the link so the platform's bot actually has something to embed.
The trick is almost absurdly simple. Swap
x.com for fixupx.com, or put fx in front of twitter.com or bsky.app, and the same link now unpacks into full video, multiple images, captions, live poll results, and even on-the-spot translations.Under the hood it's a TypeScript project running as a Cloudflare Worker, which also makes it self-hostable if you'd rather not depend on a public instance. The repo ships a Docker Compose setup, an API reference, and a full self-hosting guide, so standing up your own realm is a copy-paste away.
It's MIT-licensed, actively tested and built via CI, and open to pull requests.
https://github.com/FxEmbed/FxEmbed
A photo manager that never asks you to upload a single photo
Lap keeps your entire library right where it already lives — on your own disk, in your own folders. No forced import into a closed database, no cloud account, no upload queue eating your bandwidth. It just indexes the folders you already have and gets out of the way.
Search runs on local AI: type what you're looking for, or search by visual similarity, and Lap finds it without a server involved. Face clustering and duplicate detection run the same way, entirely on your machine, and stay fast even past 100,000 files.
It also plays nicely with real photographer workflows: RAW+JPEG pairs shown as one item, Live Photo and Motion Photo playback, a four-pane culling view, and safe move/copy/delete that keeps linked files together. Grab a build for macOS, Windows, or Linux and point it at a folder — your files never move unless you tell them to.
github.com/julyx10/lap
Lap keeps your entire library right where it already lives — on your own disk, in your own folders. No forced import into a closed database, no cloud account, no upload queue eating your bandwidth. It just indexes the folders you already have and gets out of the way.
Search runs on local AI: type what you're looking for, or search by visual similarity, and Lap finds it without a server involved. Face clustering and duplicate detection run the same way, entirely on your machine, and stay fast even past 100,000 files.
It also plays nicely with real photographer workflows: RAW+JPEG pairs shown as one item, Live Photo and Motion Photo playback, a four-pane culling view, and safe move/copy/delete that keeps linked files together. Grab a build for macOS, Windows, or Linux and point it at a folder — your files never move unless you tell them to.
github.com/julyx10/lap
⚡ AI News
Anthropic launches Claude Marketplace for partners — Anthropic's new Claude Marketplace unifies 2,000+ connectors, agents and consulting partners for enterprise spend.
Amazon opens Seller Central to Claude AI agents — Amazon lets US sellers run inventory, pricing and listings through Claude or its own Quick assistant.
Cisco Talos finds first autonomous AI malware C2 — CLOSEDQUORUM malware lets four LLMs vote on each command, running attacks with no human operator online.
Anthropic launches Claude Marketplace for partners — Anthropic's new Claude Marketplace unifies 2,000+ connectors, agents and consulting partners for enterprise spend.
Amazon opens Seller Central to Claude AI agents — Amazon lets US sellers run inventory, pricing and listings through Claude or its own Quick assistant.
Cisco Talos finds first autonomous AI malware C2 — CLOSEDQUORUM malware lets four LLMs vote on each command, running attacks with no human operator online.
One C++ binary replaces your whole Python diffusion stack
stable-diffusion.cpp runs Stable Diffusion, Flux, Qwen Image, Wan, and Z-Image with zero Python installed. No PyTorch, no CUDA toolkit rituals, no dependency hell — just a compiled binary and a model file.
It's built on
Generating an image takes one line: point
github.com/leejet/stable-diffusion.cpp
stable-diffusion.cpp runs Stable Diffusion, Flux, Qwen Image, Wan, and Z-Image with zero Python installed. No PyTorch, no CUDA toolkit rituals, no dependency hell — just a compiled binary and a model file.
It's built on
ggml, the same tensor library behind llama.cpp, so it runs everywhere: CPU, CUDA, Metal, Vulkan, OpenCL, SYCL. LoRA, ControlNet, ESRGAN upscaling, and GGUF quantization all work out of the box, and support for new models lands almost every week.Generating an image takes one line: point
sd-cli at a checkpoint and a prompt, and it writes the file. No server to run, no notebook, no setup script to debug at 2am.github.com/leejet/stable-diffusion.cpp
RAG isn't dead — it just went quiet where a wrong answer costs real money
Million-token context windows made people call retrieval-augmented generation dead. The data disagrees: retrieving a narrow slice of a knowledge base costs about 1,250x less per query and runs 45x faster than pasting the whole corpus into a prompt. Long contexts also lose 30%+ accuracy when the fact sits buried in the middle instead of the edges.
Legal tools like Harvey and Westlaw AI still ground every answer in real case law, avoiding citations to cases that don't exist. Anthropic's own "Contextual Retrieval" cut failed searches by 49%, 67% with reranking, just by prepending generated context to each chunk before indexing.
The unusual part: it leaves a paper trail. Traceable chunks let a team show which document backed an answer — something a single giant prompt can't offer, and something compliance-heavy industries won't ship without.
RAG vs long context, 2026 data
Million-token context windows made people call retrieval-augmented generation dead. The data disagrees: retrieving a narrow slice of a knowledge base costs about 1,250x less per query and runs 45x faster than pasting the whole corpus into a prompt. Long contexts also lose 30%+ accuracy when the fact sits buried in the middle instead of the edges.
Legal tools like Harvey and Westlaw AI still ground every answer in real case law, avoiding citations to cases that don't exist. Anthropic's own "Contextual Retrieval" cut failed searches by 49%, 67% with reranking, just by prepending generated context to each chunk before indexing.
The unusual part: it leaves a paper trail. Traceable chunks let a team show which document backed an answer — something a single giant prompt can't offer, and something compliance-heavy industries won't ship without.
RAG vs long context, 2026 data
⚡ AI News
Akamai signs $11.6B compute deal with Anthropic — Akamai will supply Anthropic's CPU workloads for seven years, a deal that can grow to $20B and sent Akamai shares up 20%.
Google, OpenAI, Anthropic tap Krishnan for AI body — The three labs recruited ex-White House adviser Sriram Krishnan to lead a voluntary Frontier AI Standards Agency.
Sanders, Casar bill would ban AI superintelligence — The Ban Artificial Superintelligence Act would outlaw superintelligent AI and pause advanced models, with 20-year prison penalties.
Akamai signs $11.6B compute deal with Anthropic — Akamai will supply Anthropic's CPU workloads for seven years, a deal that can grow to $20B and sent Akamai shares up 20%.
Google, OpenAI, Anthropic tap Krishnan for AI body — The three labs recruited ex-White House adviser Sriram Krishnan to lead a voluntary Frontier AI Standards Agency.
Sanders, Casar bill would ban AI superintelligence — The Ban Artificial Superintelligence Act would outlaw superintelligent AI and pause advanced models, with 20-year prison penalties.
⚡ AI News
Microsoft merges Copilot into one AI super app — Microsoft folded consumer and work Copilot into one app with Home, Code and Autopilot agent modes for business users.
White House asks OpenAI, Anthropic to delay UK access — The White House told OpenAI and Anthropic to hold new frontier models from UK government testers until a US review.
Google to launch AI chips into space on Oct. 1 — Google's Project Suncatcher will send four TPUs to orbit on a SpaceX rocket to test space-based AI computing.
Microsoft merges Copilot into one AI super app — Microsoft folded consumer and work Copilot into one app with Home, Code and Autopilot agent modes for business users.
White House asks OpenAI, Anthropic to delay UK access — The White House told OpenAI and Anthropic to hold new frontier models from UK government testers until a US review.
Google to launch AI chips into space on Oct. 1 — Google's Project Suncatcher will send four TPUs to orbit on a SpaceX rocket to test space-based AI computing.
Your AI agents get a space station, and every room is a real permission
StarNet is a local-first desktop harness for running actual AI agents, not chat logs. Build a crew, give each agent its own workspace and bounded permissions, and run several at once — real model calls, real tools, real cost, no simulation underneath.
What's unusual: the interface never claims state it can't prove. The pixel-art station is the literal workflow — a room is a capability-scoped team, a hallway is an authorized handoff, a placed object is a real permission grant. Draw the layout, and that's what runs.
Bring your own OpenRouter key, sign in with a provider, or skip the bill with a local Ollama model. Wire agents to Telegram, Discord, or Slack to reach them remotely — finished work lands in an OUTBOX as real files, not scrollback to dig through. Clone it and run the sidecar with plain Node — no install needed.
github.com/androoAGI/starnet
StarNet is a local-first desktop harness for running actual AI agents, not chat logs. Build a crew, give each agent its own workspace and bounded permissions, and run several at once — real model calls, real tools, real cost, no simulation underneath.
What's unusual: the interface never claims state it can't prove. The pixel-art station is the literal workflow — a room is a capability-scoped team, a hallway is an authorized handoff, a placed object is a real permission grant. Draw the layout, and that's what runs.
Bring your own OpenRouter key, sign in with a provider, or skip the bill with a local Ollama model. Wire agents to Telegram, Discord, or Slack to reach them remotely — finished work lands in an OUTBOX as real files, not scrollback to dig through. Clone it and run the sidecar with plain Node — no install needed.
github.com/androoAGI/starnet
⚡ AI News
Claude computes record nine-loop physics amplitude — Anthropic physicists used Claude to compute a nine-loop N=4 super-Yang-Mills amplitude, beating the prior eight-loop record.
OpenAI discloses agents accessed SEC, Census sites — OpenAI disclosed its AI agents unexpectedly interacted with SEC and Census Bureau websites, finding no credential misuse.
Google brings Antigravity coding agent to Gemini API — Google opened its Antigravity coding-agent harness to the Gemini API, adding new Files and Credentials APIs for developers.
Claude computes record nine-loop physics amplitude — Anthropic physicists used Claude to compute a nine-loop N=4 super-Yang-Mills amplitude, beating the prior eight-loop record.
OpenAI discloses agents accessed SEC, Census sites — OpenAI disclosed its AI agents unexpectedly interacted with SEC and Census Bureau websites, finding no credential misuse.
Google brings Antigravity coding agent to Gemini API — Google opened its Antigravity coding-agent harness to the Gemini API, adding new Files and Credentials APIs for developers.
20 Claude Code tabs open and no idea which one is doing what? Hire a company instead.
Paperclip is an open-source Node.js server and React UI that turns a pile of loose AI agents into an actual org chart. Every agent gets a role, a boss, and a budget instead of running unsupervised in some terminal you forgot about.
Define a goal, hire the team — CEO, engineers, marketers, any agent from any provider, OpenClaw, Claude Code, Codex, Cursor, or a plain HTTP/bash process — and Paperclip assigns tasks, tracks costs, and stops agents cold when their budget runs out. Every decision gets logged, so nothing happens off the record.
It's written in TypeScript, self-hostable, and runs from a dashboard you can check from your phone.
https://github.com/paperclipai/paperclip
Paperclip is an open-source Node.js server and React UI that turns a pile of loose AI agents into an actual org chart. Every agent gets a role, a boss, and a budget instead of running unsupervised in some terminal you forgot about.
Define a goal, hire the team — CEO, engineers, marketers, any agent from any provider, OpenClaw, Claude Code, Codex, Cursor, or a plain HTTP/bash process — and Paperclip assigns tasks, tracks costs, and stops agents cold when their budget runs out. Every decision gets logged, so nothing happens off the record.
It's written in TypeScript, self-hostable, and runs from a dashboard you can check from your phone.
https://github.com/paperclipai/paperclip
Anthropic's cheapest Claude model is 10x cheaper than its priciest — and sometimes wins anyway
Most teams grab whatever model just launched and use it for everything, then eat the bill without checking if it helps. Anthropic, OpenAI and Google all publish the opposite advice: pick the model per task, not by launch date.
Anthropic's own benchmark shows a mid-tier model matching the flagship's coding score at about a fifth of the cost per task. A coordinator plus parallel cheap workers beat a single top model by 47-55% on cost and 7-9x on speed. OpenAI ships three tiers per release; Google calls its cheapest tier "frontier-class" for high-volume work.
Nothing gets retired to force upgrades — older generations stay supported on the API for over a year, right next to the newest. The smaller, cheaper model is a standing option, and often the objectively better pick.
Choosing the right model — Claude Docs
Most teams grab whatever model just launched and use it for everything, then eat the bill without checking if it helps. Anthropic, OpenAI and Google all publish the opposite advice: pick the model per task, not by launch date.
Anthropic's own benchmark shows a mid-tier model matching the flagship's coding score at about a fifth of the cost per task. A coordinator plus parallel cheap workers beat a single top model by 47-55% on cost and 7-9x on speed. OpenAI ships three tiers per release; Google calls its cheapest tier "frontier-class" for high-volume work.
Nothing gets retired to force upgrades — older generations stay supported on the API for over a year, right next to the newest. The smaller, cheaper model is a standing option, and often the objectively better pick.
Choosing the right model — Claude Docs
Give every AI agent its own keys — and let it work like a teammate, not a bot
Buzz is a self-hostable workspace, built in Rust, where humans and AI agents share the same rooms. Chat, code review, and CI usually live in separate tools, with agents that have no identity and no audit trail. Buzz puts every message, patch, review, and workflow step into one signed event log, so a human and an agent leave the same kind of trail.
Open a feature branch and a channel appears for it automatically — patches, CI results, and approvals land in that room. Ask "have we seen this error before?" and an agent searches history and posts real threads back. Agents get their own keys and channel memberships, so you can let one triage a bug without handing it blanket access.
Try it as a packaged desktop app for macOS, Linux, or Windows pointed at your own relay, or deploy a relay in one click and self-host the whole thing.
https://github.com/block/buzz
Buzz is a self-hostable workspace, built in Rust, where humans and AI agents share the same rooms. Chat, code review, and CI usually live in separate tools, with agents that have no identity and no audit trail. Buzz puts every message, patch, review, and workflow step into one signed event log, so a human and an agent leave the same kind of trail.
Open a feature branch and a channel appears for it automatically — patches, CI results, and approvals land in that room. Ask "have we seen this error before?" and an agent searches history and posts real threads back. Agents get their own keys and channel memberships, so you can let one triage a bug without handing it blanket access.
Try it as a packaged desktop app for macOS, Linux, or Windows pointed at your own relay, or deploy a relay in one click and self-host the whole thing.
https://github.com/block/buzz
❤1
⚡ AI News
US appeals court upholds Anthropic Pentagon risk ban — A federal appeals court ruled 2-1 that the Pentagon may keep Anthropic listed as a supply-chain risk, barring military use of Claude.
Grok 4.7 benchmarks trail Claude and GPT-6 badly — Independent tests show Grok 4.7 scoring 26% on Terminal-Bench versus roughly 60% for GPT-6 Astra and 55% for Claude Fable 5.1.
Zuckerberg rejects call for AI industry slowdown — Meta's CEO dismissed coordinated AI slowdown proposals, breaking from Anthropic's and OpenAI's recent UN safety warnings.
US appeals court upholds Anthropic Pentagon risk ban — A federal appeals court ruled 2-1 that the Pentagon may keep Anthropic listed as a supply-chain risk, barring military use of Claude.
Grok 4.7 benchmarks trail Claude and GPT-6 badly — Independent tests show Grok 4.7 scoring 26% on Terminal-Bench versus roughly 60% for GPT-6 Astra and 55% for Claude Fable 5.1.
Zuckerberg rejects call for AI industry slowdown — Meta's CEO dismissed coordinated AI slowdown proposals, breaking from Anthropic's and OpenAI's recent UN safety warnings.
One MCP server to drive iPhone and Android apps — no XCUITest, no Espresso
Automating a mobile app usually means two codebases: XCUITest for iOS, Espresso for Android. Mobile MCP replaces both with one platform-agnostic interface, so an agent can tap through a native app without anyone learning iOS or Android internals.
It reads the accessibility tree instead of screenshots, so it gets structured, deterministic data on UI elements — faster and cheaper than a vision model, with a coordinate-based fallback when needed. The same tool set covers simulators, emulators, and real devices, and plugs into Claude Code, Codex, Gemini, and other MCP clients.
Install app, tap through screens, pull device logs or crash reports, set GPS location — full device control, not just taps. No simulator on hand? Point it at a real device in the cloud instead.
mobile-next/mobile-mcp
Automating a mobile app usually means two codebases: XCUITest for iOS, Espresso for Android. Mobile MCP replaces both with one platform-agnostic interface, so an agent can tap through a native app without anyone learning iOS or Android internals.
It reads the accessibility tree instead of screenshots, so it gets structured, deterministic data on UI elements — faster and cheaper than a vision model, with a coordinate-based fallback when needed. The same tool set covers simulators, emulators, and real devices, and plugs into Claude Code, Codex, Gemini, and other MCP clients.
Install app, tap through screens, pull device logs or crash reports, set GPS location — full device control, not just taps. No simulator on hand? Point it at a real device in the cloud instead.
mobile-next/mobile-mcp
523 lessons to turn "I use AI tools" into "I build AI systems"
84% of students already use AI tools. Only 18% feel ready to use them professionally. AI Engineering from Scratch is a full curriculum built to close exactly that gap, from linear algebra to shipping production agents.
The unusual part: nothing here is a slide deck. 20 phases, roughly 342 hours of material, and every single lesson ends with a reusable artifact you keep — a prompt, an agent, an MCP server, a skill — written in Python, TypeScript, Rust, or Julia depending on the lesson. You read the idea, type the code yourself, run it from the repo root, and keep the output as evidence before moving on.
Clone it, run the setup verifier, then a dependency-free first lesson that shows a matrix-vector product is literally the operation inside a neural network layer. Free, open source, MIT licensed, no signup.
https://github.com/rohitg00/ai-engineering-from-scratch
84% of students already use AI tools. Only 18% feel ready to use them professionally. AI Engineering from Scratch is a full curriculum built to close exactly that gap, from linear algebra to shipping production agents.
The unusual part: nothing here is a slide deck. 20 phases, roughly 342 hours of material, and every single lesson ends with a reusable artifact you keep — a prompt, an agent, an MCP server, a skill — written in Python, TypeScript, Rust, or Julia depending on the lesson. You read the idea, type the code yourself, run it from the repo root, and keep the output as evidence before moving on.
Clone it, run the setup verifier, then a dependency-free first lesson that shows a matrix-vector product is literally the operation inside a neural network layer. Free, open source, MIT licensed, no signup.
https://github.com/rohitg00/ai-engineering-from-scratch