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19 community available in the Claude directory
Used Copilot for 18 months, switched to Claude (via API + Claude Code) three months ago. Copilot is better for: quick single-line completions, IDE integration smoothness. Claude is better for: multi-file refactors, understanding complex codebases, explaining why code works, catching subtle bugs. My productivity is measurably higher with Claude for anything beyond simple autocomplete. The trade-off is that Claude requires more intentional prompting — it's a collaborator, not just an autocomplete engine.
Fed our OpenAPI spec and relevant source files to Claude and asked for a security review. It identified: 1) An IDOR vulnerability in our user profile endpoint, 2) A timing attack vector in our token validation, 3) Missing rate limiting on our password reset flow. All three were legitimate, exploitable vulnerabilities that our automated scanners missed. Paid for the entire year of API access in one conversation.
As a professional writer, I've tested every major model for creative assistance. Claude is the only one that doesn't produce that distinctive "AI slop" tone — the overly enthusiastic, bullet-point-heavy, hedge-everything style. When I ask it to write in my voice after showing it samples, it actually captures my rhythm and word choices. It also pushes back on bad ideas respectfully instead of just agreeing with everything. It's a genuine creative partner.
Gave Claude Opus 4 a messy 200-row dataset with inconsistent formatting, missing values, and duplicate entries. Asked it to clean the data, identify trends, and suggest next steps. It wrote pandas code that handled edge cases I didn't even think of (timezone-aware datetime parsing, handling "N/A" vs NaN vs empty strings differently), generated clear visualizations, and wrote a summary that was genuinely insightful. This saved me 4+ hours of work.
Started using Claude Artifacts to generate interactive documentation for our internal tools. It creates clean, styled HTML/React previews that I can iterate on in real-time. Last week I built an interactive API reference with search, filtering, and code examples — all within the Claude conversation. Export to HTML and host it. Beats writing Markdown docs by a mile.
After three months of using Claude Code daily in my terminal, I genuinely cannot go back to copy-pasting into a chat window. It reads my entire project, understands the architecture, runs tests, and makes targeted edits. Last week it refactored our auth middleware, updated 23 test files, and fixed a subtle race condition — all from a single prompt. The agentic loop of read-edit-test-fix is how AI coding should work.
Was using Claude to help structure my literature review and it flagged a selection bias in my study design that neither my advisor nor my committee had caught. It explained the issue clearly, cited the relevant statistical concepts, and suggested two alternative approaches. Ended up redesigning a key experiment based on its feedback. This could have been a devastating finding during my defense. Genuinely grateful.
We created a Claude Project with our product docs, API specs, user research findings, and sprint notes. Now anyone on the team can ask project-specific questions and get accurate answers grounded in our actual documentation. New engineers use it for onboarding questions, PMs use it to check feature specs, and designers use it to understand technical constraints. It's like having a senior team member available 24/7.
the trick to creating effective SKILLS is to make your ai *think* like an expert, not just follow steps Link: https://x.com/boringmarketer/status/2003846867021693427?s=46
Anthropic testing Claude's Agent mode with a new interface for tasks, to introduce new modes for research, analysis, writing, and building. Link: https://www.testingcatalog.com/anthropic-testing-new-agentic-tasks-mode-for-claude/
The creator of one of the most popular AI coding tools says vibe coding can only go so far. Link: https://www.businessinsider.com/claude-code-creator-vibe-coding-limits-boris-cherny-anthropic-2025-12
Today we’re releasing a new episode of our podcast AI & I. Dan Shipper sits down with Paul Ford, the cofounder of Aboard, a platform that helps enterprises build software with AI. They discuss Anthropic’s newest model, Claude Opus 4.5, which Dan has deemed a “paradigm-shifting model on the coding end.” Watch on X or YouTube, or listen on Spotify or Apple Podcasts. Link: https://every.to/podcast/anthropic-s-newest-model-blew-this-founder-s-mind-and-made-him-uncomfortable-273eac07-071c-4638-b6fe-a7a72541dd5d
Two hundred people joined us on Zoom on November 19, many of them with no experience building software or writing code. Eight hours later, they’d each built and deployed a working project using Claude Code, Anthropic’s AI-powered coding assistant. Like all good students, they asked lots of great questions of the Every team and CEO Dan Shipper, who hosted our inaugural cohort of Claude Code for Beginners. The questions they asked weren’t just about syntax or setup. They were also about mindset, and the trust needed to collaborate with a tool that can work autonomously. If you’re getting started with Claude Code, chances are you’ll hit the same obstacles and have the same queries. Here’s what everyone asked, and how we answered them, as compiled by engineer Nityesh Agarwal. Link: https://every.to/source-code/what-stops-beginners-from-using-claude-code-and-how-to-get-past-it
AI models are increasingly good at cyber tasks, as we've written about before. But what is the economic impact of these capabilities? In a recent MATS and Anthropic Fellows project, our scholars investigated this question by evaluating AI agents' ability to exploit smart contracts on Smart CONtracts Exploitation benchmark (SCONE-bench)—a new benchmark they built comprising 405 contracts that were actually exploited between 2020 and 2025. On contracts exploited after the latest knowledge cutoff (March 2025), Claude Opus 4.5, Claude Sonnet 4.5, and GPT-5 developed exploits collectively worth $4.6 million, establishing a concrete lower bound for the economic harm these capabilities could enable. Going beyond retrospective analysis, we evaluated both Sonnet 4.5 and GPT-5 in simulation against 2,849 recently deployed contracts without any known vulnerabilities. Link: https://red.anthropic.com/2025/smart-contracts/
Today Microsoft, NVIDIA, and Anthropic announced new strategic partnerships. Anthropic is scaling its rapidly-growing Claude AI model on Microsoft Azure, powered by NVIDIA, which will broaden access to Claude and provide Azure enterprise customers with expanded model choice and new capabilities. Anthropic has committed to purchase $30 billion of Azure compute capacity and to contract additional compute capacity up to one gigawatt. Link: https://www.anthropic.com/news/microsoft-nvidia-anthropic-announce-strategic-partnerships
Today we announced that Microsoft and Anthropic are expanding our partnership. As part of the partnership, Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 models are now available in public preview in Microsoft Foundry, where Azure customers can build production applications and enterprise agents. Link: Claude now available in Microsoft Foundry and Microsoft 365 Copilot
Our newest model, Claude Opus 4.5, is available today. It’s intelligent, efficient, and the best model in the world for coding, agents, and computer use. It’s also meaningfully better at everyday tasks like deep research and working with slides and spreadsheets. Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done. Link: https://www.anthropic.com/news/claude-opus-4-5
Claude Haiku 4.5, our latest small model, is available today to all users. Link: https://www.anthropic.com/news/claude-haiku-4-5
Claude Sonnet 4.5 is the best coding model in the world. It's the strongest model for building complex agents. It’s the best model at using computers. And it shows substantial gains in reasoning and math. Link: https://www.anthropic.com/news/claude-sonnet-4-5