Kevin Kidd

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Kevin Kidd

Kevin Kidd

@Vin_Kidd

Senior Software Engineer @Lazer_HQ

Canada Katılım Aralık 2020
1K Takip Edilen3.4K Takipçiler
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Garrett Skrovina
Garrett Skrovina@GSkrovina·
AI doesn't kill elite agencies and services firms. It kills average ones. Here's what this means for @Lazer_HQ and how we've positioned our team over the last year to take advantage of all the advancements in AI that allow us to do more for our clients and partners.
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Chintan Turakhia
Chintan Turakhia@chintanturakhia·
Back in January I told Eng two things: 1. Delete your IDE 2. Stop writing code And build only through agents. In a few weeks, we: • Built 30+ internal tools to 10x the way we work • Created a deep library of agents + skills to kill repetitive work • Formed “agent councils” for PR and app perf reviews • Shipped multi-month projects in ~1 day It was a clear mental shift to focus us on the things that matter most: - Upstream intent. - Downstream validation. Engineering has always been about building with intent and judgement. The code was just a medium for expression. Now agents are that medium. Rip the bandaid off.
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Kevin Kidd
Kevin Kidd@Vin_Kidd·
@ZainManji Love it! The comparison of model success rates for browser vs MCP is interesting
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Zain Manji
Zain Manji@ZainManji·
Today we're excited to announce CommerceBench, an eval harness and benchmark for real-world agentic commerce, alongside reinforcement learning (RL) environments CommerceBench evaluates whether AI agents can reliably complete end-to-end commerce workflows across storefronts and platforms Until now, there's been: - No commerce-specific benchmark - No credible, repeatable way to measure true end-to-end commerce performance - No safe, controllable RL environment to post-train them when they fail As AI begins to mediate more commerce interactions, this gap becomes critical Now with CommerceBench, we can measure: - Is agentic commerce actually "good enough yet" compared to humans - Which models/labs perform better on success rate, reliability, efficiency, and cost - Which platforms are most agent-friendly (e.g. Shopify, Salesforce, etc) - Which interaction methods are best (e.g. Browser, MCP, UCP) Our goal is for CommerceBench to become the default substrate for evaluating these agents and for post-training If you're a researcher or frontier lab thinking about commerce agents, reach out, we'd love to talk ❤️ commercebench.ai
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Garrett Skrovina
Garrett Skrovina@GSkrovina·
The internal slack channel about AI tools and best practices at @Lazer_HQ is the best alpha imaginable. We're already living in the future.
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nader dabit
nader dabit@dabit3·
this is exactly right, anyone in your company should be able to ship code / PRs in natural language and from the places they already work (Slack, Linear, etc..) without needing to understand how to use a CLI, git, or a local dev environment. I predict that background agents / cloud agents / remote agents, whatever we call them, will be pushing the majority of code by the end of 2026. x.com/dabit3/status/…
Aakash Gupta@aakashgupta

57% of merged PRs at Ramp in the last 24 hours came from a background agent. Most companies haven’t even started. The architecture Ramp built matters. Their agent Inspect runs in sandboxed VMs on Modal with full access to everything a Ramp engineer has: Sentry, Datadog, GitHub, CI/CD, feature flags, databases, live preview environments. The agent doesn’t just write code. It runs tests, checks telemetry, verifies frontend changes with screenshots, and opens PRs that pass the same review bar as human-written code. This is why the number is so high. Model intelligence was already sufficient. Environment parity was the missing piece. Once agents have the same context and tooling humans have, adoption compounds because engineers stop treating the agent as a side tool and start treating it as a parallel teammate running unlimited concurrent sessions. The product development implications are massive. PMs at Ramp now use Inspect during QA to make changes in real time instead of writing tickets. Designers can ship fixes without waiting for sprint capacity. The marginal cost of implementing a small change drops to near zero, which means the backlog starts to dissolve. Most engineering orgs are still debating whether to adopt Cursor or Copilot. Ramp already moved past the foreground agent phase entirely. Background agents that run autonomously, verify their own work, and produce merge-ready PRs at scale. The gap between companies measuring their agent PR ratio and companies that haven’t built the infrastructure to support one is going to define the next era of product velocity.

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gaut
gaut@0xgaut·
running out of tokens and having to go outside
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jesse.base.eth
jesse.base.eth@jessepollak·
Tl;dr: We’re focusing the Base app to be trading-first to drive demand and distribution for every asset and to be the best app for whatever you do in the onchain economy. Since announcing the Base app in July, hundreds of thousands of you have used the app to create, trade, save, spend, and build. Seeing the adoption has been incredible. We've also heard clear feedback about what's landing and isn't. Three themes stand out: - The app felt overly focused on social. It came across as too close to web2, and didn’t show support for the full breadth of assets that people want to trade. - Everyone wants more high quality assets. In general there is a desire to engage with and trade high quality assets. This is the most important opportunity as we bring capital markets onchain. - The feed needs to surface everything: Having a feed of what's happening onchain is a good idea, but it needs to surface apps, stocks, predictions, and every asset class (with social tokens are just one of many). In a world where everything is tokenized and tradeable, the single most valuable thing we can do is drive demand and distribution to everyone. That’s exactly what the Base app is going to do. We’re going to make the Base app the best place to trade and use every asset. Concretely this means: 1. We’re going to build for trading first. Having trading as our primary focus will help us bring demand and capital for all rapidly growing asset classes in the economy. 2. We’re going to bring more high quality assets onchain. To best serve the trading use case, we’re going to make it so everything is tradable in the app — protocols, apps, stocks, predictions, memes, and yes creators too. We’re going to lean into a finance-first UX. We be 3. We’re going to lean into a finance-first UX. We believe it makes more sense to layer social features on top of finance, than the other way around. This means we'll continue to experiment with features like copy-trading, feed-trading, and leaderboards. This is going to be hugely additive to the Base economy because it's going to drive more capital and users to every asset and app. Base app will be the best self-custodial wallet to trade and use every asset, globally accessible, with fast, simple onboarding for everyone, everywhere. Base chain will continue to be the best chain to build anything, now supercharged with even more distribution. We’re building this together, in the open, and seeing how people use the app keeps teaching us what matters most. Thank you for the continued feedback. Stay based.
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Brian Armstrong
Brian Armstrong@brian_armstrong·
People generally don't go after their most ambitious ideas. But that's what creates the most value. Plus there's fewer people who play in that space. Go for the hard thing.
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Lazer
Lazer@Lazer_HQ·
2025 has been our busiest year so far ❤️ We did 150+ unique total projects 48 crypto, 46 commerce, 34 B2B/SaaS, 16 consumer, 15 AI, 8 mobile, 7 fintech, 4 healthcare And we're now at 170+ people, with 0 investors and well into 8 figures in revenue 🚀 In the moment, we're so caught up in building and shipping that we forget to share about the amazing launches and products we've helped shape, so here are a few we love AI - Helped Motion build agentic workflows + data and inference infrastructure to scale LLM “expert” performance - Migrated core messaging for ClassDojo to a hybrid RN architecture with AI‑scale reliability practices and automated pipelines that cleared accessibility mandates - Built Extropic's distributed computing platform for high‑compute AI workloads with fine‑grained job scaling - Creating an AI powered routing algorithm for GoBolt - Prototyped an AI Hub with Retool for enterprise teams, with agent‑ready data prep and admin workflows to operationalize LLM use cases COMMERCE - Helped Shopify across a number of engineering initiatives - Lead and support SKIMS in engineering across frontend, storefront, POS, and backend infrastructure - Migrated October's Very Own from a custom Hydrogen frontend to Liquid and continue to level up their storefront - Migrated Gibson to Shopify across DTC, B2B, POS, and international markets - Accelerating Athletic Greens across numerous full-stack and AI engineering initiatives - Integrated Vantage's AI-powered search into Shopify (later acquired by Shopify) - Migrated Firstleaf from Solidus to Shopify while building custom subscription and state-by-state alcohol compliance tooling - Leading engineering for Mattel's American Girl - Led Knix through numerous frontend initiative's - Developed and launched a Shop Mini enabling Shop customers to virtual try-on apparel from their fav stores CRYPTO - Helped Coinbase across the stack to build and launch their new Base app - Designed core Berachain launch pages and helped build the infrastructure for their asset and NFT bridges - Initialized the work on Alchemy’s  React Native wallet SDK and beefed up their SDK for web - Helped Magic deliver their Newton platform for agentic, autonomous finance - Helping XMTP build the next phase of their path to messaging world domination - Built Dynamic’s Swift SDK for wallet integration on native iOS - Helped Courtyard migrate critical marketplace functionality away from third-party vendors building an in-house indexer and relayer CONSUMER - Re‑architected CookUnity's React Native app and CI - Designed flight planner features for Pivotal Aero - Built a performant, configurable content system for Stanford's Hoover Institution to host AI‑generated narratives and rich media with an admin‑driven component library - Helped Wakefern with UI/UX needs for their ShopRite app HEALTHCARE - Provisioned the data platform and ML infrastructure for ICP’s intelligent diabetes care solution. - Refactored Sully's audio recording capabilities and built AI diarization for their medical scribe extension and app FINTECH - Built a Stripe-integrated risk engine for Canonical to automate fraud detection workflows We also helped… Kraken, General Catalyst, OpenSea, Bombas, Todd Snyder, Axiom, VF Corporation, Ava Labs, ButcherBox, DIMO, Argo, Titles, Humi, Ardene, Seed, Delphi, Zuma, ShopHQ, Segen, PawProsper, TYR, EQL, RacquetGuys, Heron Finance, Mantle, and many more Can't wait for 2026 and building more of the world's best products with amazing founders ⚡️
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Zain Manji
Zain Manji@ZainManji·
Today, @coinbase & @base announced @baseapp and some insane other stuff, and it's been one of the most exciting products we've been lucky enough to contribute to at @Lazer_HQ It's a real onchain everything app... social feeds with friends, built-in trading (spot + perps), payments, and DeFi all in one wallet... all self-custody on Base Shoutout to @chintanturakhia and the entire Base team for trusting us to help build and ship the next big thing with them and bring billions of people onchain 🙏🏾 LFG
Coinbase 🛡️@coinbase

The everything app.

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Coinbase 🛡️
Coinbase 🛡️@coinbase·
Save the date - December 17. We’re unveiling the next evolution of Coinbase, live on 𝕏.
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Brian Armstrong
Brian Armstrong@brian_armstrong·
The next chapter of Coinbase is coming See you on December 17
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Chintan Turakhia
Chintan Turakhia@chintanturakhia·
We are making uploading media on @baseapp faster. Pictures first, videos next week. This is an internal build we will polish and add background uploading too. Coming in our next release.
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Chintan Turakhia
Chintan Turakhia@chintanturakhia·
WHAT WE SHIPPED IN THE LAST TWO WEEKS ON @baseapp Our top focus has been on performance, polish, and bugs. 👇 Big improvements to videos: Vertical videos feel better, all videos have timestamps overlays, auto-resume when you swipe back, and have overall smoother playback. Tighter convos: Inline replies keep you in the feed and mentions now have better support for long usernames. Cleaner coin creation: Ticker spacings are fixed and emojis are now supported. Better mini-apps: Open one mini-app from another, enjoy fast context data (<50 ms!), full safe-area handling on every device, and (this is big) BasePay is built in now. Fit and finish on payments: Tapping your balance now auto-fills max, error messages are cleaner, and you can toggle off incoming requests. Faster and better everything: Faster feed loads, better Android stability, easier onboarding, and lots of keyboard fixes for replies. Here’s some of what’s next: Inline comment replies, pinch-to-zoom photos, 1GB+ uploads, and invite codes. Keep the feedback coming. We’re obsessed with feed quality, discovery, and getting creators paid. What should we build next?
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ily⚡️
ily⚡️@0xIlyy·
When I review a PR and the code has comments every line
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Base
Base@base·
Wake up, Los Angeles. We teamed up with Erewhon to make a special juice just for you, and we're giving it out for free all day at select locations. Download @baseapp and your juice is on us. It's gonna be a based summer.
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