"La libertad es como la felicidad: nunca se llega. Nunca se tiene completa." —Pedro J. Gutiérrez (Animal tropical)

1/n A physical book is a real object, anchored. If you read a particular edition, you remember not only the contents but the object itself: its cover, typography, smell, even where a passage sat on the page. Books organize themselves in memory by place --the ancient method of loci. Digital text does not exist.

One mindset shift changed how I think about Claude Code. Stop treating it like a chatbot. Start treating it like a teammate. In this 22-minute walkthrough, she builds a workflow that continues shipping while you're away. Simple idea. Massive leverage. Watch the video, then save the exact setup below 👇

Stop coding like it’s 2024. You’re still manually switching between terminal, IDE, and chat. It’s slow. It’s messy. It’s killing your flow. Claude Code isn’t just a chatbot; it’s an autonomous terminal operator. If you aren’t using these 8 commands, you’re doing it the hard way (Save this) : 1. `/init` - Sets up your `CLAUDE.md`. The most critical step. Tell the AI the rules once, get better code forever. 2. `/plan` - Don’t jump into code. Use this to force Claude to outline the architecture first. It stops 90% of hallucinations. 3. `/mcp` - Connect your local databases and tools. This turns your terminal into a bridge to your entire local stack. 4. `/batch` - Run independent tasks in parallel. Stop waiting for the AI to finish one thing before starting the next. 5. `/compact` - Context bloat is the #1 reason for bad code. Use this to scrub the chat history and regain focus. 6. `/code-review` - Don’t push until you run this. Use it to catch logic errors before they hit your PR. 7. `/diff` - Preview the changes. See exactly what it’s doing before you hit enter. 8. `/clear` - Start fresh. Sometimes, you just need a blank slate. Most devs think the prompt is the product. It’s not. The product is the environment. Configure your terminal, build your MCP servers, and treat your agent like a senior engineer, not a search engine. 🔁 Repost it to share in your network Follow @swadeshkumar_ for more !! Stop "asking" the AI for code. Start delegating tasks to it. Which of these are you sleeping on? Let me know in the comments.

Anthropic engineer: "Most people use Claude Code at 20% of its capability - and then complain it doesn't ship real work." in 45 minutes he shows the exact stack his team uses to push it to 100% Auto Mode Fast Mode Opus 4.7 agent-native verification. Watch the workshop, then save the setup below.

8 Powerful Claude Prompt Frameworks 🧠 Use the right framework for the right task: • ROLE → Expert guidance • CONTEXT → Better understanding • BRIDGE → Step-by-step execution • FOCUS → Concise answers • STEER → Clear thinking • PRIME → Better outputs • LAYER

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and bookmark it now.

here's a quick overview of a) what is deepagents b) what makes deepagents good at complex tasks c) how to easily take one to production! youtube.com/watch?v=LdQpoK2T…

great overview of deepagents! what it is, how we made it great at complex tasks, how to take it to production

Build → Test → Deploy → Monitor @hwchase17 on the agent development lifecycle: langchain.com/blog/the-agent…

We're still writing code like it's 2013: no latent space, no intelligence. When there is intelligence we gate the agents like workers at a Foxconn factory. The future of software is just-in-time and is 10x less code because of the markdown. And the agents will be free.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." this is one of the best workflows I've seen in a long time in this video she breaks down exactly how most people are using Claude: - the 14% you lose to CLAUDE.md before typing a word - the plugins that 95% of users have never installed - the workflows that run without you typing a single prompt - why typing one prompt and closing the tab is leaving 90% on the table if you've been using Claude for months and still start every session from scratch, you have at least 28 untouched features. probably 30 instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

RLMs can now access MCP servers with `fast-rlm` 🚀 - Connect any MCP via stdio or http - RLM accesses all MCP tools, resources, templates - Results saved as python variables in the REPL (not loaded directly into LM saves input tokens) Demo app: RLM deep research with filesystem MCP webfetch MCP html-to-md MCP ...

Workflows as a *data structure* are underrated. You can annotate, analyze, visualize, generate UI, diff, simulate, etc. They unlock tooling that code-shaped workflows make hard. `await step(...)` is nice for authoring workflows, but not always the best way to represent them.

Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for agents. Most official CLIs suck for agents. They waste tokens and time. @steipete started making his own because of this. 📚 A Library of agent-native CLIs you install today (Linear, ESPN, Flight GOAT (Google Flights Kayak nonstop), Contact Goat (LinkedIn Happenstance Deepline more) 30 more) 🏭 A factory that prints new ones for any service - just type /printing-press <product name> CLIs are fast, local, SQLite-backed. Work in Claude Code, Codex, OpenClaw, Hermes. 🌐 printingpress.dev

I fell in love with this quote recently: “An inch of movement is better than a mile of intentions”.