Rohit Kelapure
@RKela
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Building with AI https://t.co/8D915zEN7o
Palo Alto
Joined August 2009
My 2026 prediction: @AnthropicAI or @Google or @OpenAI or @Meta hires @Steve_Yegge. That's it. There is opportunity and risk in Gastown/Beads, as it is going to do to AI coding agents what Kubernetes did to Docker.
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These @claudeai skills are at the next level
github.com
A set of ready to use scientific skills for Claude - K-Dense-AI/claude-scientific-skills
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This is exactly right. "Plan mode" in Claude Code is effectively agent management. You can choose the intensity of your management by "rejecting" the plan and forcing CC to ask you more questions. A better, albeit slower, approach is what @trq212 shows in this screenshot:
When you see how people use Claude Code/Codex/etc it becomes clear that managing agents is really a management problem Can you specify goals? Can you provide context? Can you divide up tasks? Can you give feedback? These are teachable skills. Also UIs need to support management
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The Projects Some succeeded. Some stalled. All taught something. Discovery How well you understand the problem decides everything. Every customer conversation revealed something new. Record everything. Memory fails. Recordings don't. PRDs The PRD is the deliverable. Before code
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Product Managers and Designers who can code well with an agent are going to be the most valuable people in tech in 2026.
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Beautiful design @greptile
https://t.co/U0TUpTqbsp well done and informative!! worth a read.
greptile.com
AI Code Reviews that understand your entire codebase. Automate PR reviews, catch bugs faster, improve code quality with AI-driven analysis. Try Greptile free!
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In 2026, the filter for Product Managers will be the number of SaaS products they have built and shipped from 0 to 1, along with their ARR and usage.
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Someone should stash thisi in a system prompt or a skill:
simonwillison.net
I’ve started using the term HTML tools to refer to HTML applications that I’ve been building which combine HTML, JavaScript, and CSS in a single file and use them to …
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Ontology of AI assistants (Claude Code, Cursor, VS Code ) = code crappers (Vercel, Lovable, Replit, Bolt) = app crappers (Subframe, Magic patterns, Figma make) = design crappers
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I would have never used @OpenRouterAI . thanks to @karpathy now I have to setup the LLMCouncil.
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Nano Banana Pro is a total game changer why ? It is the only frontier model that can solve problems visually.
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Don't think of LLMs as entities but as simulators. For example, when exploring a topic, don't ask: "What do you think about xyz"? There is no "you". Next time try: "What would be a good group of people to explore xyz? What would they say?" The LLM can channel/simulate many
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