Click any tag below to further narrow down your results
Links
Anthropic released the claude-code-setup plugin, which scans your project and configures hooks, skills, servers, subagents, and automations step by step. Without it, Claude Code feels basic; with it, you get an integrated AI dev workspace. CLICKUP’s Brain² then layers in full company context so you never re-upload docs or re-explain projects.
- Anthropic's claude-code-setup plugin auto-configures hooks, skills, MCP servers, subagents and automations by scanning your repo, turning Claude Code into a tailored dev environment instead of a generic tool.
- The real limiting factor in AI workflows is lack of context, not model quality—teams waste time re-uploading docs and re-explaining projects to get usable output.
- ClickUp's Brain² pulls in all tasks, chats, docs and decisions from a workspace, routes requests to the best model (GPT, Claude Opus, Gemini), and feeds it full context automatically.
- This creates a "multiplayer AI workspace" that accumulates the equivalent of 150 years of company expertise, eliminating the need to brief the AI twice.
Two Anthropic engineers spend 24 minutes unveiling undocumented Claude Code features that most users overlook. They demonstrate hidden functions and shortcuts in this video, suggesting it could overhaul your AI workflow.
- The described "hidden features" (debug verbose mode, memory slots, S3 auto-fetch, experimental rate limiter) are not real documented Claude Code capabilities and the syntax shown (//verbose, ///MEMORY SLOT, <s3://...>) appears fabricated
- The claims of auditing internal reasoning, persistent cross-session memory slots, automatic S3 file parsing, and a 30% cost-cutting rate limiter should be treated as unverified or likely false rather than genuine product functionality
Two Anthropic engineers walk through every lesser-known Claude Code capability in a 24-minute session. They uncover shortcuts, tools, and tricks most users never try, so you can get more out of the platform.
- The provided summary details features (in-browser REPL, YAML tool plugins, "Explain error" button, 10-user shared workspaces) that don't match any known Claude Code product, suggesting fabricated or hallucinated content.
- The source is just a Twitter/X handle (@sairahul1) with no actual article body given, making the "detailed summary" unverifiable against real content.
The creator of Claude Code hosts a free 30-minute workshop showing how to use 40 hidden Claude commands effectively. Watch the session, bookmark it, and then follow the linked guide for step-by-step instructions.
- A Twitter/X account post claims Anthropic released a free 30-minute Claude Code workshop with 40 hidden commands
- The claimed instructor, "Khairallah Al-Awady," is presented as the creator of Claude Code, which is not verifiable and likely false framing
- The post pushes viewers to bookmark the video and follow a linked written guide, a pattern typical of engagement-bait or scam promotion
- No actual command list, technical content, or verifiable details are included in the summary itself—only promises of value
This article reviews Anthropic’s free Claude Code in Action course, detailing its 15 video lectures, final quiz, and completion certificate. It explains setup, context management, hooks, MCP servers, and GitHub integration, noting its value for both beginners and experienced users.
- Anthropic's free "Claude Code in Action" course (15 videos, ~1 hour, at anthropic.com/learn) gives lifetime access and covers setup through advanced features like hooks, the SDK, MCP servers, and GitHub integration.
- Passing an 8-question final quiz earns a PDF certificate (emailed with name, course title, date, verification number) that can be added to LinkedIn in one click.
- The author scored 7/8 (87%), missing a question on hooks, despite finding the video content easy.
Anthropic reduced Claude Code’s prompt cache TTL from one hour to five minutes, causing higher token write costs and faster quota depletion for long coding sessions. Developers report frequent cache misses—especially with large context windows—hitting usage limits and degrading performance. Anthropic says it will tweak default context windows but won’t offer a global TTL setting.
- Anthropic quietly cut Claude Code's cache TTL from one hour to five minutes in early March, causing far more expensive cache misses on long sessions.
- Cache writes cost 25% more per token than hits, so Pro users ($20/mo) report exhausting quotas after just two prompts in five hours.
- Anthropic says TTL is auto-selected client-side with no global override, but is testing a smaller 400K default context window (up to 1M optional) to curb costs.
- Beyond cost, users report degraded model behavior—looping, repetition, and "overthinking"—since a late-March update, separate from the caching issue.
Anthropic has introduced repeatable routines in Claude Code that run on its web infrastructure, so tasks execute even if your Mac is offline. The feature, now in research preview, lets Pro, Max, Team, and Enterprise users schedule automations with repo and connector access, subject to daily run limits. The update also includes a redesigned Mac app with parallel sessions, an integrated terminal, file editing, and preview tools.
- Claude Code now runs scheduled "routines" on Anthropic's servers, so automations execute even when your Mac is offline
- Daily routine limits scale by plan: 5 for Pro, 15 for Max, 25 for Team/Enterprise
- Routines come pre-connected to repos and connectors, eliminating manual cron job or server setup
- The redesigned Mac app adds parallel sessions with a sidebar, plus a built-in terminal, file editor, and HTML/PDF preview pane
Anthropic is revamping its Claude Code desktop app under the “Epitaxy” codename, adding multi-panel views for Plans, Tasks, Diffs and support for multiple repositories. It also introduces a Coordinator Mode that lets Claude orchestrate parallel sub-agents and create custom agents in-app, mirroring OpenAI’s Codex agent workflow but running locally on the desktop.
- Anthropic's "Epitaxy" update overhauls Claude Code's desktop app with side-by-side Plans, Tasks, and Diffs panels, plus multi-repo support and in-app code preview.
- A new Coordinator Mode brings sub-agent orchestration (previously CLI-only) into the desktop UI, letting Claude delegate work across parallel sub-agents.
- This directly mirrors OpenAI's Codex "Magic TODO" parallel-agent workflow, but runs locally instead of in the cloud.
- Both companies are racing to ship these desktop updates as soon as next week, signaling a shift in competitive focus from model performance to workflow integration.
The article breaks down the recently leaked source code of Anthropic's Claude Code CLI. It highlights the system's architecture, design choices, and differences from OpenAI's Codex, particularly in handling context overflow and user interactions. Key features like compaction strategies and internal versus external user instructions are explored.
- Claude Code uses a four-tiered compaction strategy (proactive token monitoring, reactive fallback, and a "snip compaction" mode for headless sessions) versus Codex's simpler diff-based approach that just minimizes data sent per turn
- The system prompt uses a boundary marker to cache roughly 3,000 tokens of static instructions across users for performance gains
- Internal users get specialized instructions specifically designed to stop the model from misrepresenting test results or giving misleading status updates
- The codebase includes feature flags and build-time checks specifically to prevent sensitive information from leaking into public builds