somebody at Microsoft® & Optimizely thinks I am _Most _Valuable _Professional. passioned about F#. I do stuff with computers.

riga.lv
Joined April 2012
valdis iljuconoks 🤘 retweeted
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
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valdis iljuconoks 🤘 retweeted
MICROSOFT BUILT A TOOL THAT CONVERTS LITERALLY ANYTHING INTO CLEAN MARKDOWN FOR YOUR LLM pdfs. word docs. excel. powerpoint. audio. youtube urls one pip install and your AI pipeline stops choking on raw files forever no custom parsers. no broken layouts. no garbled text. just clean, structured markdown your LLM can actually read github.com/microsoft/markitd…
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valdis iljuconoks 🤘 retweeted
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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valdis iljuconoks 🤘 retweeted
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing
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valdis iljuconoks 🤘 retweeted
🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free.
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valdis iljuconoks 🤘 retweeted
I'll be doing a livestream with Figma on March 31st on how to use Claude Code with the Figma MCP to collaborate between engineers and designers. Hope to see you there, you can sign up below!
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valdis iljuconoks 🤘 retweeted
Today we're launching local scheduled tasks in Claude Code desktop. Create a schedule for tasks that you want to run regularly. They'll run as long as your computer is awake.
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valdis iljuconoks 🤘 retweeted
We've rolled out a new auto-memory feature. Claude now remembers what it learns across sessions — your project context, debugging patterns, preferred approaches — and recalls it later without you having to write anything down.
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valdis iljuconoks 🤘 retweeted
Someone really built this. A VS Code extension that turns your AI agents into pixel art characters working inside a virtual office.
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valdis iljuconoks 🤘 retweeted
this guy literally built a VS Code extension that turns Claude code agents into pixel characters in a virtual office, showing what each agent is doing with animations.
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valdis iljuconoks 🤘 retweeted
Another fantastic guide from Anthropic👇 🌟The Complete Guide to Building Claude Skills🌟 • How to structure your skill folder correctly • What makes a skill trigger reliably (and what breaks it) • How to write clear, effective SKILL.md instructions • How to test, iterate, and ship production-ready skills resources.anthropic.com/hubf…
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valdis iljuconoks 🤘 retweeted
Introducing: built-in git worktree support for Claude Code Now, agents can run in parallel without interfering with one other. Each agent gets its own worktree and can work independently. The Claude Code Desktop app has had built-in support for worktrees for a while, and now we're bringing it to CLI too. Learn more about worktrees: git-scm.com/docs/git-worktre…
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valdis iljuconoks 🤘 retweeted
someone built a tool that REMOVES LLM CENSORSHIP in 45 minutes with a SINGLE command its called HERETIC here is how it works and why everyone is talking about it
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valdis iljuconoks 🤘 retweeted
Almost 40K downloads across just 3 Claude Code agents Trying them out is simple: - Go to aitmpl.com - Select Agents and browse the list - Click on one, then copy or run the command in your project - Ask Claude Code to use that agent for a task You’ll see Claude call the agent and run it in isolation, meaning the subagent works in its own context, executes the task independently, and only returns the result. keeping your main project clean and focused.
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