Reading up on Cursor
100 deep · digging since nov 19, 25
- Social Media Scraping APIs for YouTube, TikTok, Instagram, Facebook, X & LinkedIn
SocialKit provides a unified API that extracts transcripts, summaries, comments, and stats from YouTube, TikTok, Instagram, Facebook, X, and LinkedIn as clean JSON.
- The Making of Claude Code \ Anthropic
Anthropic shares the inside story of Claude Code's development from an internal CLI tool to a widely used coding agent, highlighting design decisions and team insights.
- Show HN: Smart model routing directly in Claude, Codex and Cursor
A smart model routing tool for Claude, Codex, and Cursor claims to reduce costs and improve speed by dynamically selecting the best model for each request.
- Skill engineering and the case against one-shot AI design
Paul Bakaus argues AI agents need “skill engineering” to give designers precise control, rejecting full automation in favor of human judgment steering the final 20% of creative work.
- The Pulse: a new trend, smart model routing - The Pragmatic Engineer
Several vendors now offer intelligent model routers that automatically select the cheapest sufficient LLM per task, promising 20-30% cost savings, a trend expected to become table stakes.
- Understanding is the new bottleneck
As AI agents write code faster than humans can review, understanding remains critical for creative participation, not just verification.
- Documentation · oak
Oak is a version-control and storage layer built for AI coding agents, offering branch-per-session workflows, lazy mounts for instant monorepo access, and full git export for data portability.
- What Active Rubyists Are Using in 2026: A Maintainer's Read of the RubyKaigi Survey - DEV Community
A maintainer's analysis of RubyKaigi 2026 survey data reveals that Ruby 4.0 adoption matches 3.4 within six months, Claude Code dominates at 80% usage, and VS Code/Cursor lead editors while mise/asdf challenge rbenv.
- Autoresearch: The feedback loop behind self-improving agents
Autoresearch uses outer loops with feedback signals and human input to let agents improve and maintain systems, reducing bottlenecks while keeping humans central.
- “It’s Hard to Eval” Is a Product Smell – Hamel's Blog
Products that are hard to evaluate programmatically are likely hard for users to verify, so design for verification first.
- Build from anywhere with Cursor for iOS
Cursor released a native iOS app in public beta that lets developers launch and control AI coding agents from their phone, with cloud agent support and remote control.
- Agentics / Tech Things: Tokenmaxxing is dead, long live tokenmaxxing
Tokenmaxxing was a deliberate strategy to force AI adoption at companies like Meta, and despite current rollbacks, it will return as agents achieve compounding correctness and loop-based workflows.
- Claude Code turned every engineer into three. Now companies need more product thinkers
AI coding tools like Claude Code have tripled engineering output, shifting the bottleneck from coding to product decisions, requiring engineers to focus on fundamentals and product thinking.
- hasp · model 01
Hasp is a local secret broker that injects credentials into coding agent processes without the agent ever reading the plaintext value.
- SpaceX to buy Cursor for $60B
Commenters debate Cursor's value at a $60B acquisition price, praising its model-agnostic agentic workflow and enterprise traction while others dismiss it as a commodity in a saturated market.
- API for Cursor - Cursor Composer in Any Coding Agent
API for Cursor is an open-source macOS app that exposes Cursor's Composer as a local OpenAI-compatible API for use in any coding agent.
- GitHub - millionco/react-doctor: Your agent writes bad React. This catches it
React Doctor is a deterministic scanner that audits React codebases for issues across state, effects, performance, architecture, security, and accessibility, and integrates with coding agents and CI pipelines.
- A Guide to AI Inference Engineering - ByteByteGo Newsletter
LLM inference splits into compute-bound prefill and memory-bound decode, driving optimization techniques like batching, quantization, speculative decoding, and disaggregation.
- The Quiet, Galactic Ambitions of Cursor CEO Michael Truell - Business Insider
Cursor CEO Michael Truell navigated a fraught reliance on Anthropic, built in-house AI models, and struck a deal for a potential $60B acquisition by SpaceX to secure computing power.
- We Should Take Text Optimization More Seriously
Text optimization—modifying prompts, context, memory, and harnesses—is a legitimate, sample-efficient learning mechanism that deserves the same rigorous study as weight optimization.
- Claude Fable 5 and Claude Mythos 5 \ Anthropic
Anthropic launches Claude Fable 5, a safety-nerfed Mythos-class model for general use, and Mythos 5 for vetted cyber defenders, both at half the price of Mythos Preview.
- Direct agents with visual prompts in Design Mode
Cursor's Design Mode lets users point, draw, or narrate UI changes in the browser, with agents editing the underlying code in real time.
- Give your agent its own computer
LangSmith Sandboxes give each AI agent its own hardware-isolated microVM with filesystem, shell, and package manager, enabling secure code execution without risking host infrastructure.
- Musings on Markets: Revisiting the SpaceX Valuation: A Post-Prospectus Update!
A finance professor updates his SpaceX valuation to $1.3 trillion after the IPO prospectus reveals heavy AI investment, dual-class control, and risky governance.
- I think Anthropic and OpenAI have found product-market fit
Anthropic and OpenAI may have reached product-market fit based on enterprise willingness to pay $200/month for tokens, though valuation and cost sustainability remain contested.
- Cursor · The Cursor Developer Habits Report
Coder productivity has doubled year-over-year, with AI-generated code surviving review at higher rates, while top 1% of users far outpace median developers.
- agent-skills/skills/autoreview/SKILL.md at main · openclaw/agent-skills
The piece defines a structured pre-commit code review skill for AI agents, specifying contracts, scope governance, and engine isolation across multiple review engines including Codex, Claude, and others.
- Robinhood Lets Customers Use AI to Trade Stocks, Make Credit-Card Purchases - WSJ
Robinhood is launching a feature allowing customers to delegate trading and credit-card spending decisions to AI agents like Claude and Cursor via dedicated accounts.
- Using AI to write better code more slowly
Using multiple LLMs for rigorous code review and bug finding can produce higher-quality code than the common fast-output approach, though it slows development velocity.
- {{IW4QaZoc2}}
Perplexity open-sources Bumblebee, a read-only scanner that checks developer machines for risky packages, extensions, and AI tool configs during supply-chain incidents.
- What we’ve learned building cloud agents
Cursor's cloud agents perform best when given full development environments, durable execution via Temporal, and a harness that shifts control to the agent.
- Taste MCP · Use your design taste in any AI tool
Taste captures screenshots of UI you love, extracts design tokens with AI, and builds a taste profile that AI coding assistants use via MCP.
- Introducing Composer 2.5
Composer 2.5, a major update to Cursor's AI coding assistant, improves long-horizon task performance via targeted RL feedback and synthetic data, built on Kimi K2.5.
- Agent Hooks: Deterministic Control for Agent Workflows
Hooks enforce deterministic controls in agent workflows by attaching handlers to lifecycle points, moving repeatable rules out of model memory into explicit code.
- Development environments for your cloud agents
Cursor introduces new tools for configuring cloud agent development environments, including multi-repo support, Dockerfile-based configuration, and enhanced security controls.
- Development environments for your agents
Cursor launches cloud agent development environments with multi-repo support, Dockerfile-based config as code, and per-environment governance controls.
- Escape from agentic loop - by David Hoang
Using AI agents in human-in-the-loop mode creates a productivity addiction similar to doom scrolling, so the author shifts to human-on-the-loop for most work to reclaim deep focus time.
- claude code is not making your product better
Coding agents increase senior engineer output but not product velocity, as the bottleneck is product taste and complexity management, not code production speed.
- A Mental Model for Agentic Work
Agentic work follows a universal five-component architecture (LLM, host, loop, context, shared workspace) seen across OpenClaw, Cursor, and Notion.
- AddyOsmani.com - Agent Skills
AI coding agents skip senior-engineer practices by default, so Addy Osmani created Agent Skills to encode workflows like specs, tests, and reviews as non-optional agent steps.
- Using coding assistance tools to revive projects you never were going to finish
Using coding assistance tools like Cursor can help developers overcome project abandonment by lowering the barrier to resuming unfinished side projects.
- What you're actually writing when you write a SKILL.md
Skills are loader specifications with three execution stages, not static prompts, and understanding this runtime architecture is the key to writing efficient, portable agent skills.
- Continually improving our agent harness
Cursor improves its coding agent by iterating on context management, evaluation metrics, and model-specific harness customization, treating the harness as a software product.
- Build programmatic agents with the Cursor SDK
Cursor introduces a TypeScript SDK for building programmatic agents using its runtime, harness, and models, available in public beta.
- AddyOsmani.com - Long-running Agents
Long-running AI agents that operate across days require decoupling the model loop from execution sandbox and durable session log, with separate planning, generation, and evaluation roles.
- SpaceX says it has agreement to acquire Cursor for $60B
SpaceX has a potential deal to acquire AI coding startup Cursor for $60 billion or pay $10 billion for collaboration, sparking debate on valuation and strategy.
- The Era of Tokenmaxxing
Shopify approaches 100% daily AI tool adoption among employees, with CLI tools like Claude Code and Codex gaining share while IDE-based tools decline, though top percentile token users grow faster than the rest.
- In the AI Era, Shopify Is Investing in Junior Engineers—Not Cutting Them - CoderPad
Shopify expanded its internship program 10x, betting that AI-native junior engineers are more valuable than redundant.
- Cursor's $60 Billion Escape Hatch - Contrary Research
SpaceX secured a $60 billion option to acquire AI coding startup Cursor, giving Cursor access to Colossus and relieving its dependence on Anthropic and OpenAI.
- The Pulse: ‘Tokenmaxxing’ as a weird new trend - The Pragmatic Engineer
At Meta, Microsoft, and Salesforce, developers are deliberately burning AI tokens to inflate usage metrics, causing massive waste and prompting Meta to remove its internal leaderboard.
- Better AI models enable more ambitious work
A University of Chicago study of 500 companies found AI usage rose 44% as models improved, with developers shifting to more complex and cross-system tasks.
- Vibe check from AI industry HumanX: Anthropic is talk of the town
Anthropic's Claude Code is now the dominant focus in AI industry conversations at HumanX, as enterprise adoption positions it ahead of OpenAI and Cursor.
- AddyOsmani.com - Agentic Engine Optimization (AEO)
Developer portals should optimize for AI coding agents by structuring documentation with llms.txt, token-efficient formatting, and capability signaling via skill.md.
- Issue: Claude Code is unusable for complex engineering tasks with Feb updates
Users report that Claude Code's quality has degraded since February updates, causing failures on complex tasks, while others find success with highly structured workflows.
- Let’s talk about LLMs
LLMs do not provide a revolutionary productivity gain in software development because the essential difficulty lies in specification, design, and testing, not code generation speed.
- Show HN: A plain-text cognitive architecture for Claude Code
Cog provides a structured plain-text memory system for AI coding agents, enabling shared context across tools like Claude Code and Cursor without a server or database.
- Improving Composer through real-time RL
Cursor uses real-time reinforcement learning on live user interactions to ship improved Composer model checkpoints every five hours.
- Thoughts on slowing the fuck down
Rapid adoption of AI coding agents in production codebases leads to compounding errors, complexity, and loss of maintainability; the author advocates for slowing down and maintaining human oversight.
- Inside the grind: The SF startup racing to build an AI software engineer
Cognition CEO Scott Wu argues AI coding agents like Devin will expand software creation rather than eliminate engineering jobs despite industry layoffs and competition.
- Fast regex search: indexing text for agent tools
Cursor is building local indexes for regular expression search to reduce agent wait times from 15-second ripgrep runs in large monorepos.
- GitHub - MiniMax-AI/skills
MiniMax-AI released a repository of structured development skills for AI coding agents, covering frontend, fullstack, mobile, shader, and document generation.
- Cursor admits its new coding model was built on top of Moonshot AI’s Kimi
Cursor admitted its new coding model Composer 2 was built on Moonshot AI's open-source Kimi model, sparking scrutiny over transparency and US-China AI tensions.
- How to Do AI-Assisted Engineering - by Gregor Ojstersek
Engineers and leaders from 15 companies share structured workflows for AI-assisted coding, emphasizing design-first approaches, rigorous review, and context discipline over ad-hoc prompting.
- The Trillion Dollar Race to Automate Our Entire Lives - WSJ
Anthropic, OpenAI, and Cursor are racing to build AI agents that automate work and personal tasks using natural language commands, moving beyond code generation.
- Introducing Composer 2
Cursor released Composer 2, a frontier-level coding model achieving strong benchmarks (CursorBench 61.3, Terminal-Bench 61.7) at competitive pricing.
- GitHub - microsoft/apm: Agent Package Manager
Microsoft's APM is an open-source dependency manager for AI agents that lets teams declare agent configurations in a manifest file and reproduce them across tools like Copilot, Claude, and Cursor.
- GPT 5.4 is a big step for Codex - by Nathan Lambert
GPT 5.4 improves agentic coding by removing hard edges, excelling in instruction-following and speed, though Claude retains an edge in warmth and charm.
- Training Composer for longer horizons
Cursor trains Composer to generate its own compact summaries mid-task, reducing context errors by 50% while using 80% fewer tokens than traditional prompting.
- Use subagents and custom agents in Codex
OpenAI Codex launched subagents in GA, enabling custom agents via TOML, and catalogues identical features across six other coding platforms.
- Staff complain that xAI is flailing because of constant upheaval
xAI staff complain that constant upheaval, co-founder departures, and Musk's hardcore demands are destroying morale and causing talent loss, despite aggressive expansion plans.
- Whoa! This isn't the page you're looking for.
Jamon Holmgren's Night Shift workflow uses day-time spec writing and night-time autonomous agent coding, achieving 5x faster development with better quality and enjoyment.
- Show HN: DenchClaw – Local CRM on Top of OpenClaw
DenchClaw is a local CRM built on top of OpenClaw that manages customer data and automates sales outreach through AI agents, sparking debate about security and ethics.
- How we compare model quality in Cursor
Cursor uses a hybrid online-offline eval system, CursorBench, built from real developer sessions to better distinguish model quality than public benchmarks.
- Coding After Coders: The End of Computer Programming as We Know It - The New York Times
A.I. coding agents shift programmers from writing code to orchestrating agents, debugging, and prompt engineering, fundamentally changing the role.
- GitHub - JeanMeijer/slopmeter: CLI tool to show off how many tokens you use
Slopmeter is a CLI tool that generates usage heatmaps and token-count stats for six AI coding assistants over the past year.
- Over 30 new plugins join the Cursor Marketplace
Cursor adds over 30 new plugins from partners including Atlassian and Datadog to extend its AI-powered coding agent's capabilities across infrastructure and productivity tools.
- Inside OpenAI’s Race to Catch Up to Claude Code
OpenAI fell behind Anthropic in AI coding agents after deprioritizing Codex, but is now racing to catch Claude Code with GPT-5.2.
- GitHub - es617/claude-replay: Community tool to convert Claude Code session transcripts into self-contained, embeddable HTML replays
Claude-replay converts AI coding agent session transcripts into self-contained, interactive HTML replays for sharing and embedding.
- No, it doesn't cost Anthropic $5k per Claude Code user - Martin Alderson
The viral claim that Anthropic loses $5,000 per Claude Code Max subscriber confuses retail API prices with actual inference costs, which are roughly 10x lower.
- 10x is the new floor - by Nikunj Kothari - Balancing Act
AI tools have raised the baseline for individual productivity to the former 10x level, splitting the talent market and pressuring companies that rely on average performers.
Takes
SCOOP: Perplexity is quietly building an AI coding tool that takes on Claude Code and Cursor. It's meant to build software end-to-end. The tool is being used internally (for now) under the codename 'Teammate.'
@CharlesRollet1
This could well end quicker than most people assume, because coding agents in the cloud are coming, and they are coming fast, especially inside places like Cursor (I was in their offices yesterday, and local agents will prob go away soon as I read the room)
@GergelyOrosz
Introducing Cursor for iOS. Build from anywhere by launching always-on cloud agents. Or remotely control agents running on your computer from the app. Composer 2.5 is 75% off in the app now through July 5.
@cursor_ai
Last week, I spoke at @cursor_ai compile on the new PM, and what it means when anyone can build anything
@clairevo
Introducing /automate, a skill for agents to set up automations for you. Describe your task in plain language. Cursor configures the triggers, instructions, and tools.
@cursor_ai
.@mntruell launched Cursor 8 times, and nobody cared. Don't give up.
@marclou
anyone built a reliable system/solution for indexing and searching threads across claude code, codex, cursor..etc? All the built-in ones are not that great.
@shadcn
We're launching code storage and git hosting. Origin gives teams and agents a place to host, review, and collaborate on code. Available this fall. Join the waitlist. https://cursor.com/origin-waitlist
@cursor_ai
Building recursive agent systems
@leerob
Michael Truell (@mntruell) fell in love with coding at 12. The company he co-founded, @cursor_ai, went from 15 people to 700 in two years. Today, over 60% of the Fortune 500 build with its AI coding platform.
@claudeai
People still using Cursor/Codex/VSCode to code?! I don't get it... I know we used to call it "vibe coding" Today, I call it professional product engineering. Done staring at code in an editor, we're way pass that. This is how you should do it in 2026 👇
@SimonHoiberg
Suddenly it hit me. What happened to DeepSeek? Sora? GitHub Copilot? Llama? Cursor? Perplexity? What happened?
@shub0414
Today we're launching Paxel: a free tool that analyzes your Claude, Codex, and Cursor coding sessions and gives you a profile of how you build with AI. It runs locally inside Docker, and your code never leaves your machine. Try it at http://paxel.ycombinator.com
@ycombinator
State of Memory in Agent Harness
@mem0ai
Introducing Impeccable 3.5, the best way to design in production: iterate on real UI with your AI agent, in the codebase you actually ship. Turns out many popular design skills, including Impeccable and Anthropic's frontend-design, weren't actually very good at...design (the workflow was valuable, but the output didn't magically make LLMs like GPT great designers). We measured it across thousands of generations: 74% of pages used the cream AI-default background, 76% reached for extreme letter-spacing, 90%+ failed the contrast floor. So we started fixing slop systematically, specific to each model. The skill now compiles rules for the exact defects each model makes, instead of shipping one generic file to everyone. The biggest jump is in GPT-5.5 and Codex. Also new: ◆ It now knows the difference between a new project and an existing one. Existing codebase, it reads your design system and preserves your identity. Greenfield, it seeds a fresh palette from 129 hand-curated anchors so every cold start doesn't drift to the same safe colors. ◆ Live Mode is now in beta, and works at two scales. Type a direction into the new Steer bar, or speak it, and the agent reads the whole page and edits it in place. Or pick a single element, steer it with a sub-command, live-edit any copy, and accept the variant straight back to source. Insert mode scaffolds brand-new elements between the ones already there. Recovery survives HMR, hidden heroes, and dev-tool overlays. ◆ A rebuilt anti-pattern detector. Torn off jsdom and onto a real CSS cascade resolver: roughly 20x faster, dependency-free, and now small enough to run inline inside the skill, not just the CLI and extension. 14 new rules, 41 total. ◆ The skill keeps itself current, checking once a day and offering to update. Plus /impeccable init and a bare /impeccable that reads your repo and tells you the next move. Free, open source. Claude Code, Codex, Cursor, and more.
@pbakaus
First, open the Cursor browser into a new project. Then, navigate to http://magicpath.ai and log in.
@skirano
Today's Training Data episode takes us BTS on the infrastructure challenges required to do large RL runs at scale, featuring @ellev3n11 (Composer Lead at @cursor_ai) and @dzhulgakov (Co-Founder at @FireworksAI_HQ). The Cursor team trained Composer 2 on Fireworks by starting with a strong base model (Kimi 2.5) and performing large-scale mid-training on code tokens and web data to learn common patterns and libraries, followed by a large-scale Reinforcement Learning run to learn how to navigate the Cursor harness, call tools, and write correct code. Today's episode dives into the systems and infrastructure challenges of making that large RL run happening, and there were many (!!), from numerical mismatch to global distribution to synchronizing rollouts across asynchronous pipelines to keeping track of expert activation across runs and more. Extremely nerdy in-the-weeds challenges that Federico and Dima were delighted to nerd out on together :) Beyond RL infra, we also discussed Online vs Simulated rollouts, self-summarization for long-horizon agents, environment design ("the most powerful RL environment is the product itself"), and other technical nuggets. PS: We filmed this episode before the SpaceX news, while the Cursor team was still compute-constrained. While Cursor now has *all* the flops, the takeaways and hurdles crossed ring true for any serious application-level company that is racing to post-train their own models. I believe that more serious application companies will go the way of Cursor and post-train their own models. 00:00 Introduction 00:53 Why Cursor Trained Composer 2 04:55 Specialization vs Bitter Lesson 06:16 Composer 2 Training Recipe 16:32 Scaling RL Infrastructure Globally 23:32 Floating Point Drift 25:11 MoE Sensitivity Explained 26:25 Router Replay Fix 27:19 Real Time RL Loop 31:49 Long Horizon Agents 34:29 Why RL Everywhere 37:34 LLM as Judge Rewards 39:14 RL in Hard Domains 40:13 Build Your Own Environments 44:34 Closing Thoughts
@sonyatweetybird
the most used skill internally at cursor right now /thermo-nuclear-code-quality-review - deletes complexity instead of moving it - blocks files over 1k lines - flags thin wrappers and leaked logic - rejects PRs that work but make code messier
@ericzakariasson
the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more
@Shopify
Thin Harness, Fat Skills
@garrytan