Daniel Strongin

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Daniel Strongin

Daniel Strongin

@Strongin_

Helping businesses learn and integrate AI

Sacramento, CA Katılım Mart 2021
830 Takip Edilen147 Takipçiler
Daniel Strongin
Daniel Strongin@Strongin_·
Expo + React Native is why a non-coder can ship a real mobile app. One project becomes an iPhone app, an Android app, and a website. An AI agent edits a file → your phone updates instantly. Package it into a real installable app when you're ready. The prompt I used (paste into Claude Code or any coding agent in an empty folder): "Set up an Expo + React Native app in this folder. Install everything, then start the dev server so I can scan the QR with Expo Go on my phone." 10 minutes later I was building on my phone.
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Daniel Strongin
Daniel Strongin@Strongin_·
@karpathy Awesome! Can't wait to see what you learn with Anthropic trickle down to your educational material
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Andrej Karpathy
Andrej Karpathy@karpathy·
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
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Daniel Strongin
Daniel Strongin@Strongin_·
@trq212 Oh yeah, definitely have to do this. Yeah, there always are choices that are made for you that you don’t know about
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Thariq
Thariq@trq212·
a prompt I've been using a lot recently: implement <SPEC> and while you do, keep a running implementation-notes.html file (or markdown) with decisions you had to make weren't in the spec, things you had to change, tradeoffs you had to make or anything else I should know
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Daniel Strongin
Daniel Strongin@Strongin_·
I’m getting more convinced the useful agent pattern is not “let it run everything.” It’s: 1. agent writes the fix 2. tests prove the contract 3. repo log records the decision 4. external actions wait behind a human gate Today: 28 tests, 3 issues closed, 6 automation pages shipped cleanly.
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Daniel Strongin
Daniel Strongin@Strongin_·
@trq212 I use HTML for everything now. You opened up pandoras box lol
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Thariq
Thariq@trq212·
HTML continues to be undefeated
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Daniel Strongin
Daniel Strongin@Strongin_·
Using Claude Code to plan my honeymoon. France, June 4-23. It's booked: 4 stays, 5 trains, 2 wine tours, a Michelin dinner, a Seine dinner cruise, Eiffel Tower top floor, Louvre, Musée d'Orsay, a food tour. Budget in markdown, EUR auto-converts to USD. Every confirmation PDF lives in the repo.
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Daniel Strongin
Daniel Strongin@Strongin_·
I’ve been using @mattpocockuk’s agent workflow ideas: grill the design first, turn it into a PRD, split it into issues, then TDD each slice. It turned duplicated automation into a shared runner that’s easier for AI agents to navigate, test, debug, and change.
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Daniel Strongin
Daniel Strongin@Strongin_·
@mattpocockuk What about one skill orchestrating a bunch of small skills to complete a complex task
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Matt Pocock
Matt Pocock@mattpocockuk·
Long skills are such a red flag to me - Hard to audit (and therefore, trust) - Hard to edit (more text, harder to maintain) - Expensive to run (more text, more tokens) The shorter the skill, the better IMO
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Daniel Strongin
Daniel Strongin@Strongin_·
Codex computer use is pretty freaking good. It checked Telegram/Teams, found a song on Spotify, looked at email stats, and scanned messages/emails for anything needing attention. All from one concise prompt. Starting to feel genuinely useful. Using Computer Use to post this.
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Daniel Strongin
Daniel Strongin@Strongin_·
Built a public system-bug-investigator skill for coding agents. It keeps bug fixes from turning into symptom patches: identify the failure surface, trace related files/services, check blast radius, choose the safest first fix, then verify. github.com/danman231/agen…
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Daniel Strongin
Daniel Strongin@Strongin_·
5/6 So I made a public skill for this: agent-architecture It helps an agent design or review an AI workflow before it turns into a vague, overpowered, hard-to-debug automation.
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Daniel Strongin
Daniel Strongin@Strongin_·
1/6 Most AI agent failures are architecture problems, not prompt problems. The model can be smart and still fail if the workflow has unclear roles, too much context, no approval gates, and no validation.
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Perplexity
Perplexity@perplexity_ai·
GPT-5.5 is now available on Perplexity for Max subscribers. GPT-5.5 is also rolling out as the default orchestration model in Computer for both Pro and Max subscribers.
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