koH

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koH

@Crypto_koH

lend a /hand & change the world Building Public Goods / https://t.co/H5g0SZuqOn / https://t.co/jASedCPlZw / https://t.co/GjivND8djX (https://t.co/hUBb1WzyeL)

koH Labs Katılım Haziran 2019
1.7K Takip Edilen941 Takipçiler
koH
koH@Crypto_koH·
hey x, whats up? hit that like if you see this... give me some hope in this platform... maybe I should get on some spaces?
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koH@Crypto_koH·
Waking up at 4:44am with honey all over the kitchen and sales rep games to deliver.
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koH@Crypto_koH·
flowb.me is pretty solid! Login issues syncing across multiple platforms with telegram, web, farcaster miniapps and chat etc. 🫤 although everything else is on point! (We’ll just found a weird web UX and there’s a lot of features 🤪) Time to send it @ETHGlobal
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koH@Crypto_koH·
It’s happening! Enterprise fees go up!
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koH@Crypto_koH·
Blurry codec : 223
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koH@Crypto_koH·
He laughed when I asked for $3.20 in gas 😂 Proceeded to let him know instead of dollar cost averaging bitcoin I’m DCA’ing gas 🥲🤪
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koH@Crypto_koH·
Proof of Push #1: Jan 8th ; Blurry Nights
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koH@Crypto_koH·
It’s a rather beautiful origin story. The memory of it is even better. Hrmm that joke didn’t land 😂🕺 mempalace.tech/milla-jovovich
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koH@Crypto_koH·
@0xSero Currently in rehab right now. First rehabilitation is to get my IQ over 80 😂🤪🤓
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koH@Crypto_koH·
Gm! Been cooking hard and resting well. Very excited to share soon the amazing partner projects I’ve been working with.
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Warren
Warren@TheArtOfWarren·
Seek to develop the most advanced set of perspectives you can. (Make no mistakes).
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koH@Crypto_koH·
@dabit3 Only on windsurf?
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nader dabit
nader dabit@dabit3·
SWE-1.6 is the perfect combination of cost, speed, and quality. It’s available today in Windsurf in two modes: free tier (200 tok/s) and fast tier (950 tok/s). Here it is running at actual speed, implementing a new React Native feature in ~31 seconds. See this thread from @silasalberti for benchmarks + other thoughts:
Silas Alberti@silasalberti

With SWE-1.6 we've made significant progress on "intelligence per token". We post-trained the model from scratch (same pre-trained model) with a similar recipe as SWE-1.6 Preview. Our latest algorithm achieves similar intelligence at ~40% fewer assistant turns. We also shipped further infra improvements, so our latest training run was 1.6x faster end-to-end for the same amount of FLOPs. In our next training run, we're aiming to 5x the FLOPs.

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cocktail peanut
cocktail peanut@cocktailpeanut·
Starting beta for a new version of Pinokio. What's new: 1. Completely new way to interact with Pinokio 2. UI overhaul from the ground up 3. New security features Want in? Ask in Discord #general.
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0xSero
0xSero@0xSero·
Local AI is a human right, our children, families, neighbours, friends, and fellow humans deserve privacy and freedom.
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nader dabit@dabit3·
At Cognition we're seeing coding agents handling the entire SDLC, going way beyond just coding. Here are some tips and tricks we're seeing dev teams use with agents like @devinai to handle the SDLC: 1. Scheduling daily E2E smoke tests: an automation signs up for your app, goes through onboarding, exercises core flows, and gets a pass/fail report in Slack every morning. You can even watch the screen recording or have it sent directly to you via Slack. x.com/ryancarson/sta… 2. Auto-triaging production errors: it's easy to wire Sentry (or other) webhooks so new errors get root-caused, fixed, and shipped with a regression test before an on-call even has to look at their phone. docs.devin.ai/api-reference/… 3. Scheduling weekly dependency updates: a scheduled session checks for outdated packages, runs your full test suite, and opens upgrade PRs grouped by patch, minor, and major bumps. Merge what's green, review what's not. docs.devin.ai/product-guides… 4. Morning health digests: a scheduled session queries Datadog for error spikes, latency regressions, and failing monitors, then posts a severity-rated summary to Slack before standup. 5. Auto-fix on every PR: Sophisticated review agents like Devin Review catch bugs, security issues, and style violations on open PRs, then automatically push fixes directly to the branch. No back-and-forth in review comments, the agent handles the entire loop. cognition.ai/blog/closing-t… 6. Parallelization of large migrations: for instance scope a REST-to-GraphQL or JS-to-TS migration, split it into conflict-free work packages, and run 8+ sessions in parallel. 7. Scheduling feature flag cleanups after releases: teams leave flags in place as a kill switch after new launches, then never get around to removing them. You can set a one-time session for a week after ship day and the cleanup actually happens: dead code path removed, tests updated, PR opened. (done via Scheduled Sessions) 8. Weekly changelogs: once per week, a scheduled session groups merged PRs by category (features, fixes, improvements), posts the digest to Slack + anywhere else relevant, and updates CHANGELOG.md 9. Reproducing customer-reported bugs from support tickets: paste a customer issue into Slack, tag Devin, and it attempts to reproduce the problem in the browser. You get a screen recording of the reproduction and a filed bug with exact steps-to-reproduce attached. 10. Enforcing your design system: schedule a session that scans merged PRs for hardcoded colors, missing design tokens, style violations, etc... Auto-creates tickets or kicks off sessions for anything that slipped through. 11. Auto-generating API docs from a ticket: create a docs Playbook, sync it as a Linear label, and apply it to any ticket. Devin generates documentation following your conventions and opens a PR. 12. Keeping docs in sync with code changes: schedule a daily session that reviews the previous 24 hours of merged PRs against your documentation. If an API endpoint changed, a config option was renamed, or a feature works differently now, it opens a PR to update the docs before users hit stale information. 13. Racing competing solutions against the same problem: if have a slow API endpoint you launch 3 parallel sessions, each trying a different optimization strategies (caching, query rewrite, denormalization). Compare the benchmarks and merge the winner (this can also be automated) 14. Automated visual regressions tests before every PR: add a repo skill that triggers whenever UI files change. Devin starts the app, screenshots every affected page at multiple viewports, and flags layout breakage, overflow, or missing elements (or you can have Devin autofix them) This type of work is already partially being automated by a lot of teams, but usually by a human in the loop meaning they're taking time away from more important work to do things that don't usually provide immediate impact or business value It's obvious that automating these repetitive tasks frees up engineering time, but to me it's also not a bad recruiting tactic - if you work here you won't be spending any of your time doing boring work.
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thedao.fund
thedao.fund@thedaofund·
If you want to be part of the first TheDAO Security Fund round, now’s the time to apply. Submit by April 15 to be reviewed before the round opens on April 21.
Giveth@Giveth

x.com/i/article/2036…

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am.will
am.will@LLMJunky·
Due to popular demand, I am proud to announce my brand new course! Mastering Anthropic's Terms of Service: A 12-Module Masterclass "Finally understand what you're allowed to build." -------- Here's a quick peek into the course and what you can expect: Module 1: Is Claude Code a Product or a Suggestion? Module 2: The -p Flag: Personal, Professional, or Please Don't Sue Me Module 3: ACP: What It Means and Why Even Anthropic Isn't Sure Module 4: Can You Ship an App or Just Stare at One Lovingly? Module 5: Advanced Interpretive Reading of the 1,300-Page SDK EULA Module 6: Case Studies from Developers Who Tried and Disappeared Bonus Module: How to tag Anthropic employees on @X for Clarification ------ Join 43,000 confused developers. Lifetime access. No refunds. Link in comments 👇
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Matt Pocock@mattpocockuk

Anthropic's subscription rules are more complicated than TypeScript generics That's fucked up

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