Holistic AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

Holistic AI AI

How to give Claude Code 'Cursor AI' goggles

Recently used Cursor AI (free tier for 3 free queries a month) to resolve an issue in 10 mins that Claude Code Opus could not resolve in 2 hours. Simple reason was that Cursor quickly got a grasp on meaningful end to end parity relationships between my entire codebase and quickly hunted down the culprit. I was impressed and then I had questions. Cursor charges almost the SAME sub cost $ as Claude code yet it is NOT an LLM. Its a bunch of powerful proprietary toolsets designed to make your LLM "see" your code correctly. Cursor is a "holistic" augmented IDE that uses real-time indexing and background linting to assist your active coding flow, blah blah blah. Claude Code on the other hand is a top-down autonomous agent that plans and executes sequentially. They both do the same 'sort' of thing but try to get to similiar results very differently. Disclaimer - by the way CC is way more useful and powerful overall lets not kid outselves. Being the 'resourceful' person I like to pretend I always am I tried to approximate this type of capability in Claude Code. Heres what I got below. PS I used AI to format this table and content below so dont drag me over the coals MCP Server Functional Benefit Cursor AI Equivalent mcp-code-search Semantic Index: Maps the "meaning" of your code so you can search for concepts (e.g., "how we handle phase") rather than just exact text. u/Codebase / Semantic Search lsp (via clangd) Symbolic Map: Understands the "laws" of C++. It traces ripples, finds every reference of a function, and jumps to definitions with 100% precision. "Go to Definition" / Symbol Indexing mcp-memory Persistent Brain: Remembers architectural decisions and project rules across different days and sessions so I don't have to "re-learn" your project. (Cursor lacks persistent memory) filesystem Direct Access: Gives me high-speed read/write access to your local project folders without me having to "ask" for file contents repeatedly. Integrated Explorer sequential-thinking Logic Scratchpad: Allows me to break down complex bugs (like your IPC state-machine issues) into steps before I touch a single line of code. "Advanced Reasoning" mode I used Opus to run some comparison tests and apparently i am like at 70- 80% functional parity with Cursor AI although thats hard to actually quantify. I also ask it stuff at the conclusion of my conversation like 'how much longer would this have taken you without the so and so MCPs Cursor AI powers you've now got? and mostly very positive 'reviews' from claude code and comparitive proof (which are really just estimations I know!) Few more notes ------------------- -use Claude Code itself to install\ configure these MCPS yourself Youll save yourself a lot of stuffing around TRUST ME! -Use a Post-Edit Re-index Hook to keep your data fresh (avoids having to remember to reindex your codebase manually every new session) -update your claude.md file to prioritise your nav tools so that it can take advantage of your newly added search tools (example only text below) Navigation: LSP first, then MCP (`juce-docs`, `memory`, `code-search`), then Grep/Glob as fallback. What I have personally noticed in 4 weeks of use? -------------------------------------------- Lets me preface by saying I know my codebase and I've got a good grasp on what is considered implementation 'success' for MY project and what baseline methods I used to help CC get me there as accurately and fast as possible for the last 6 months. What have I noticed now? Snappier more contextual processing\ graph based searching of my codebase (no blind grepping it actually 'walks the graph' not just a keyword search, jumps to relevant files rather than scanning my whole repo every time) , better ripple edits (less guessing + quickly detects cross file impact) , better total hit rates, more tailored targetted responses, + just piece of mind that I've got that 'extended' type of capability when and if helpful. Im sure at least some of this is placebo but if I trust Opus to help me write entire applications then I should technically also be taking it at face value when its outright telling me that these tools have proven measurably useful in getting faster more accurate results at the end of the session. Anyway thought to post here in case someone else was interested in giving it a go and seeing what mileage they may get out of it. Peace..... submitted by /u/ThesisWarrior [link] [comments]

I got tired of Claude generating "we are passionate about innovation" on every landing page. Here's what fixed it.

Every "AI website builder" I tried produced the same template fill: "We are passionate about innovation" "Cutting-edge solutions for the modern era" Three feature cards titled Innovative, Reliable, Dedicated with one sentence of fluff each Fabricated testimonials with names like "Sarah J." and "Mike T." Lorem ipsum still sitting in the about page when the demo screenshot was taken For a service agency, that output is worse than useless. It ships, it doesn't convert, and you spend the weekend rewriting it by hand. So I tried to encode the opposite — a no-AI-slop doctrine — into a Claude Code toolkit. Hard rules, enforced by a hook that scans every file Claude writes and rejects buzzwords before they hit disk: ❌ No lorem ipsum, no [insert headline here], no [your benefit] ❌ No fabricated stats or testimonials. Every quote needs an attribution ❌ Buzzword blocklist: synergy, leverage, seamless, world-class, cutting-edge, innovative, passionate, dedicated, revolutionary, next-generation, disrupting (50+ total) ❌ No 3-up "passionate / innovative / dedicated" feature grids ✅ Every benefit needs a number, name, or concrete artifact. "Save time on reporting" gets rejected. "Cut your weekly reporting from 4 hours to 15 minutes" ships. ✅ 5-second test: a stranger sees the hero and answers (a) what is this? (b) who is it for? (c) what's next? ✅ One primary CTA per viewport. No conflicting goals. A QA-reviewer agent has block authority over the deploy command. If the page has TODO markers, fake testimonials, or buzzword density above threshold, /ship-it refuses to run. A few things I learned that I didn't expect: 1. The single best design decision was a foundational shared context file. One markdown file at .agents/agency-context.md captures niche, ICP, offer, voice, design tokens. Every skill reads it before asking the operator anything. It's the difference between "tell Claude about your business 30 times" and "tell it once, every artifact respects it forever." I borrowed this idea directly from coreyhaines31/marketingskills, which uses the same pattern for SaaS PMM. 2. Don't vendor framework versions. My first instinct was to ship package.json files for the Astro and Next stacks. That guarantees decay in 60–90 days — Astro 5 → 6, Next 15 → 16, Tailwind 3 → 4. I ripped those out and replaced them with bootstrap.md files documenting the current official scaffolder (npm create astro@latest, npx create-next-app@latest). The agent runs the official init at runtime and applies a small overlay. Always current, never decaying. 3. Conversion frameworks beat freestyle prompting. Encoding StoryBrand 7-part as the default service-agency page structure, Hormozi's Grand-Slam Offer as the pricing-section template, PAS / AIDA for paid-traffic LPs — the agent picks the right framework based on page type. Way better than asking Claude to "write good copy." The whole thing is 6 slash commands, 11 skills, 5 specialist agents, 4 industry overlays (dental as the reference, plus legal / home-services / B2B-consultant), all wired through Claude Code's plugin marketplace. It's MIT-licensed and on GitHub if anyone wants to fork it, steal pieces, or pile on with new industry overlays: github.com/heymusa/agency-out-of-the-box Genuinely curious what you'd add to the buzzword blocklist. The list keeps growing every time I review a page that the agent let through and I think "wait, that one slipped". Top current candidates I'm debating: robust, holistic, empower, unlock, streamline. Where's your line? submitted by /u/Musayyab-Naveed [link] [comments]

I asked Opus 4.6 to give an in depth breakdown of economic health

Just sharing this because I thought it was interesting. It's a topic I wanted to learn more about, but also wanted to test out Opus and see how well it did. If anyone is educated in economics, I'd love to hear you weigh in on how well Opus did and where it missed. Claude provided a .docx and a summary explanation. Here's the prompt I used: Provide a holistic explanation of what a healthy economy is in all aspects. Many people confuse healthy economy with individual numbers such as: unemployment, the DOW, GDP, inflation. The problem is that this overlooks lots of details such as economic cycles, national debt, underemployment, different types of inflation, that fact that some inflation can be good, discrepancies between stock prices and an actual healthy economy. Key focus areas for this breakdown include inflation, employment, stock markets, interest rates, real estate, income, cost of living and anything else that you deem a key pillar of economic health. After this, also include an economic health check for the USA currently. Lastly, cite academic and practical economic theories and philosophies that relate to you explanations. Output: UNDERSTANDING A HEALTHY ECONOMY Beyond the Headlines: A Comprehensive Guide to Economic Health, Measurement, and the Current U.S. Picture Prepared March 2026 Sources: BEA, BLS, Federal Reserve, FRED, Census Bureau, CBO Introduction: Why Single Numbers Mislead When news outlets report that "the economy is strong" or "the economy is struggling," they almost always point to one or two headline numbers: the unemployment rate, the Dow Jones Industrial Average, GDP growth, or the latest inflation reading. While each of these metrics captures something real, none of them individually tells you whether the economy is healthy. Treating any single indicator as the definitive measure of economic health is like judging a person's health by checking only their blood pressure. A truly healthy economy is one where output is growing sustainably, prices are stable but not stagnant, most people who want work can find meaningful employment, incomes are rising faster than costs, financial markets reflect fundamentals rather than speculation, housing is accessible, and the government's fiscal position is not on an unsustainable trajectory. These conditions must hold simultaneously and, critically, they must hold broadly across the income distribution, not just for the top quintile of earners. This document breaks down each major pillar of economic health, explains the nuances that headlines miss, provides a current health check for the United States as of early 2026, and ties each concept to the academic and practical economic theories that underpin our understanding. Key Principle: A healthy economy is not defined by any single metric performing well. It requires a balance across multiple dimensions, sustained over time, and distributed broadly across the population. Pillar 1: Economic Output (GDP) What GDP Measures and What It Misses Gross Domestic Product measures the total market value of all final goods and services produced within a country's borders over a given period. Economists typically track real GDP (adjusted for inflation) to strip out price changes and focus on actual output growth. A healthy economy generally shows real GDP growth between roughly 2–3% annually for a mature economy like the United States, which is enough to absorb population growth and productivity gains without overheating. However, GDP has significant blind spots. It does not capture the distribution of income, meaning GDP can rise sharply while most households see stagnant or declining real incomes. It excludes unpaid work such as caregiving and household labor. It also counts activities that may not improve wellbeing—rebuilding after a natural disaster adds to GDP, but the population is not better off. Environmental degradation and resource depletion are not subtracted. Simon Kuznets, who developed the national income accounts that became GDP, famously warned in 1934 that "the welfare of a nation can scarcely be inferred from a measurement of national income." The Business Cycle: Expansions, Peaks, Contractions, Troughs GDP does not grow in a straight line. Economies cycle through expansions (rising output, falling unemployment), peaks (where growth begins to slow), contractions or recessions (declining output, rising unemployment), and troughs (where the economy bottoms out before recovering). The National Bureau of Economic Research (NBER) officially dates U.S. business cycles and defines a recession not simply as two consecutive quarters of negative GDP growth, but as a "significant decline in economic activity that is spread across the economy and lasts more than a few months." This definition matters because it incorporates employment, income, and industrial production alongside GDP. Understanding where you are in the cycle is essential context for interpreting any economic