Pascal Andy

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Pascal Andy

Pascal Andy

@askpascalandy

Founder at FirePress: we host websites + memberships + payments + mailing list thanks to Ghost. 🤖 CiCD everything. ☁️ Internet's opinion isn't my own.

Montréal, Canada Sumali Mart 2009
280 Sinusundan700 Mga Tagasunod
Pascal Andy
Pascal Andy@askpascalandy·
@yiliush Limited to terminal windows ? Would love this and load vs code, browser, obsidian, etc
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Pascal Andy
Pascal Andy@askpascalandy·
Just ran your simulation @doodlestein When Task 4 is done, I think we should see 6/6 right ?
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Browser Use
Browser Use@browser_use·
Introducing: Browser Use CLI 2.0 🔥 The most efficient browser automation CLI tool > 2x the speed, half the cost > Easily connect to running Chrome > Uses direct CDP Try it now 🔗↓
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dax
dax@thdxr·
do you use the opencode sidebar
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Tanner Linsley
Tanner Linsley@tannerlinsley·
Ghostty was fun, but time for something else. I still love opencode, too but with CC plans dead on it… I’m feeling lost. Full GUI? T3 Code? Opencode GUI? Warp? Back to cursor? Try CC again? Raw Codex? My 🧠 hurts and I just need to keep shipping.
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Pascal Andy
Pascal Andy@askpascalandy·
@doodlestein @kuchin Would it make sense to run these tests using a medium LLM such as glm5 ? Their plans are seems generous
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Jeffrey Emanuel
Jeffrey Emanuel@doodlestein·
@kuchin I always use Codex and Claude Code, so it’s both. And I explicitly ask it to make the tests for me as part of the process of creating and polishing beads. See the part about tests here: x.com/doodlestein/st…
Jeffrey Emanuel@doodlestein

Before you burn up a lot of tokens with a big agent swarm on a new project, the old woodworking maxim of "Measure twice, cut once!" is worth revising as "Check your beads N times, implement once," where N is basically as many as you can stomach. I've found that you continue to get more and more improvements, even if they're subtle, the more times you run this in a row with Opus 4.5 (note that the following prompt is only for use AFTER you've already turned your initial markdown plan into beads using the other prompt I gave recently in my recent very long post about my workflows): "Reread AGENTS dot md so it's still fresh in your mind. Check over each bead super carefully-- are you sure it makes sense? Is it optimal? Could we change anything to make the system work better for users? If so, revise the beads. It's a lot easier and faster to operate in "plan space" before we start implementing these things! DO NOT OVERSIMPLIFY THINGS! DO NOT LOSE ANY FEATURES OR FUNCTIONALITY! Also, make sure that as part of these beads, we include comprehensive unit tests and e2e test scripts with great, detailed logging so we can be sure that everything is working perfectly after implementation. Remember to ONLY use the `bd` tool to create and modify the beads and to add the dependencies to beads. Use ultrathink." I used to only run that once or twice before starting implementation, but I experimented recently with running it 6+ times, and it kept making useful refinements. If it starts to flatline in terms of incremental improvements to the beads, you might try starting a brand new CC session, starting it with: "First read ALL of the AGENTS dot md file and README dot md file super carefully and understand ALL of both! Then use your code investigation agent mode to fully understand the code, and technical architecture and purpose of the project. Use ultrathink." And then following up with the same prompt as shown above, but prefaced with: "We recently transformed a markdown plan file into a bunch of new beads. I want you to very carefully review and analyze these using `bd` and `bv`." The more complex and intricate your markdown plan is, the more relevant this technique is. If you have a small, trivial plan and a very simple project, this is obviously overkill. But in that case, you will likely see little in the way of incremental gains/changes with each round, so it should be fairly obvious when it's time to stop. Just remember: planning tokens are a lot fewer and cheaper than implementation tokens. Even a very big, complex markdown plan is shorter than a few substantive code files, let alone a whole project. And the models are far smarter when reasoning about a plan that is very detailed and fleshed out but still trivially small enough to easily fit within their context window (this is really the key insight behind my obsessive focus on planning and why I spent 80%+ of my time on that part). And if you lean on GPT Pro with Extended Reasoning in the web app for the initial planning as I strongly advocate (that is, to create and improve your markdown plan that you eventually turn into beads), you basically get those on an all-you-can-eat basis with a Pro plan, so take full advantage of that! No other model can touch Pro on the web when it's dealing with input that easily fits into its context window. It's truly unique. Now, you can still get a lot of extra mileage by blending in smart ideas from Gemini3 in the web app with Deep Think enabled, or from Grok4 Heavy, or Opus 4.5 in the web app, but you still want to use GPT Pro on the web as the final arbiter of what to take from which model and how to best integrate it. And since this post could still be even more comically long, I'll leave you with my prompt for integrating those competing plans into one single canonical "best of all worlds" markdown plan: "I asked 3 competing LLMs to do the exact same thing and they came up with pretty different plans which you can read below. I want you to REALLY carefully analyze their plans with an open mind and be intellectually honest about what they did that's better than your plan. Then I want you to come up with the best possible revisions to your plan (you should simply update your existing document for your original plan with the revisions) that artfully and skillfully blends the "best of all worlds" to create a true, ultimate, superior hybrid version of the plan that best achieves our stated goals and will work the best in real-world practice to solve the problems we are facing and our overarching goals while ensuring the extreme success of the enterprise as best as possible; you should provide me with a complete series of git-diff style changes to your original plan to turn it into the new, enhanced, much longer and detailed plan that integrates the best of all the plans with every good idea included (you don't need to mention which ideas came from which models in the final revised enhanced plan):" (Hell, one more prompt for kicks; I use this one to iteratively improve an existing markdown plan): "Carefully review this entire plan for me and come up with your best revisions in terms of better architecture, new features, changed features, etc. to make it better, more robust/reliable, more performant, more compelling/useful, etc. For each proposed change, give me your detailed analysis and rationale/justification for why it would make the project better along with the git-diff style change versus the original plan shown below:"

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Jeffrey Emanuel
Jeffrey Emanuel@doodlestein·
OK this might be getting excessive, even for me (from my FrankenEngine project): ● Session complete. 37,542 unit tests + 83,971 integration tests = 121,513 total tests across the codebase, all passing (37,947 lib tests verified at 0 failures).
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Pascal Andy
Pascal Andy@askpascalandy·
@Yampeleg are you running glm5 from z-ai plans ? How are the limits and the speed ? Thanks !
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Yam Peleg
Yam Peleg@Yampeleg·
Current stack: - Pi for everything. - GPT-5.4 for everything code. - Gemini-3.1 for design/brainstorming. - Sonnet 4.5-no-thinking for openclaw. - GLM-5 for parallel swarms. - Opus 4.6 for everything else. Currently Testing: Minimax-2.7.
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Marc Andreessen 🇺🇸
OpenClaw and Pi together are in the top 10 of all time software breakthroughs.
Chrys Bader@chrysb

folks who are calling @openclaw pure hype are telling on themselves openclaw is like the early internet, it's raw, unrefined, and takes a little doing to get things to work, but when you figure it out, it's transformative. here are some real use cases that are having material impact on our $2.5M ARR business: 1. ad creative pipeline. our head of growth @ArjunShukl95550 built an end-to-end creative pipeline to go from ideation to publish adds to meta, greatly increasing our creative iteration speed. it's producing winning creatives. it lives in slack, and anyone on the team can share their ideas and have them enter the pipeline. 2. data analytics agent. another bot lives in our slack that connects to bigquery and lets our team ask any questions of the data, it produces charts and answers questions in real time. no one needs to write SQL anymore. 3. recruiting. i told my agent about a role we're hiring for, and it scoured linkedin and the web, found 30 candidates, portfolio, email addresses, and stack ranked them based on fit with our criteria this is just in the past week. i have twenty more success stories for you i can share another time. you have to understand, this is the shittiest it will ever be. everyone is going to have one or more personal self-improving agents that they use every day, and openclaw is what revealed this future to us. if you can't see this, i encourage you to look harder there will be many competitors (and already are), and the large labs will start to converge on this (they already are) too. openclaw may not win, but it opened pandora's box and uncorked the agentic future.

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Pascal Andy
Pascal Andy@askpascalandy·
@dotta @garrytan I still see that we need to do the work and putting the time to define what we want using /plan-ceo/review Assuming we are in a mature project, I guess all other steps could be run directly within Paperclip. Do I see this correctly @dotta ?
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Garry Tan
Garry Tan@garrytan·
For agentic systems founders and dev tools founders: People do not want to pay for raw markdown and they shouldn't have to. But they may pay for orchestration, hosting, updates, collaboration, portability, analytics, and managed execution. These can be great businesses.
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Pascal Andy
Pascal Andy@askpascalandy·
@mattshumer_ I made a gpt-5.4 optimized version of it since it was drifting after 10+ inputs 😲 #file-orchestrator-for-gpt-5-4-md" target="_blank" rel="nofollow noopener">gist.github.com/pascalandy/b09… This optimal prompt is based on the practices : developers.openai.com/api/docs/guide… So I've been cooking hard for more than one hour in the same conv. It now delegates perfectly 😎
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Vox
Vox@Voxyz_ai·
been running this exact pattern for months. one coordinator thread that never writes code, just delegates to specialists. the part that surprised me: the coordinator getting smarter over time only works if you force it to search its own memory before every delegation. otherwise it forgets what it learned two days ago and re-explores the same files.
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Pascal Andy
Pascal Andy@askpascalandy·
@nicopreme The work you’re putting out is genuinely invaluable. Thank you for sharing !
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Nico Bailon
Nico Bailon@nicopreme·
Updated Pi slash commands (prompt templates) so they can delegate the task directly to a subagent with optional forked context from the main chat. Built on the event bus feature I contributed to Pi core earlier this year for direct extension-to-extension communication. pi install npm:pi-subagents github.com/nicobailon/pi-… pi install npm:pi-prompt-template-model github.com/nicobailon/pi-…
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Jeremy Nguyen ✍🏼 🚢
Jeremy Nguyen ✍🏼 🚢@JeremyNguyenPhD·
A multi-agent AI system that "daydreams" through your notes looking for non-obvious connections! Obsidian and Claude Code. free and open source, github link in reply.
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Pascal Andy
Pascal Andy@askpascalandy·
I was waiting for this kind of feedback to come up. Call me old school, but I prefer to design my personal assistant from the ground up — and when I need all the fancy stuff around it, I’ll upgrade.
Wiz 👨‍🚀@WizLikeWizard

Have been using OpenClaw for ~a month and it kinda sucks? I spend more time battling it to get basic crons fired reliably, remember things, and not repeat itself. Am I doing it wrong or are we just still very early on all of this?

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Pascal Andy
Pascal Andy@askpascalandy·
@DataChaz @grok what am I looking at in this video? I can’t see anything on my phone.
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Charly Wargnier
Charly Wargnier@DataChaz·
Why pay for LinkedIn Premium when you can just fire up Chrome devtools? 😏
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