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Ana Sayfaya Dön

Learn how SoFi reduced their codebase 60% using Flutter ✂ A unified codebase let the team delete 1M lines of code, slashing maintenance while shipping faster to iOS and Android. Chapters: 1:01 - The problem 1:23 - Why SoFi chose Flutter 2:17 - Results of migration

Flutter

277,916 subscribers

25,607 görüntüleme • 3 ay önce •via X (Twitter)

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Iwarifgha profil fotoğrafı

Iwarifgha3 ay önce

Flutter is the future.

Abdul Awal profil fotoğrafı

Abdul Awal3 ay önce

That's happy news. Congrats 😍😇

Adel Bucetta profil fotoğrafı

Adel Bucetta3 ay önce

the honest answer is that most companies still can't scale without a unified codebase, sofi's achievement feels like a benchmark, but it's not a one-off, someone will soon match this and probably do it faster

Lucky Pony profil fotoğrafı

Lucky Pony3 ay önce

Thanks to Flutter for making my Agent software so easy to use.

Khalid Aj 🇵🇸🇮🇩 profil fotoğrafı

Khalid Aj 🇵🇸🇮🇩3 ay önce

what makes this differ with react native or so

Pranjul Dhiman profil fotoğrafı

Pranjul Dhiman3 ay önce

Still I am curious why flutter jobs are still low! Even I also prefer building apps in flutter💯

じ东 profil fotoğrafı

じ东3 ay önce

Curious: What was the hardest part of the migration—UI parity, state management, or platform-specific integrations?

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Yesterday, the CEO of $SOFI bought another $250K worth of shares at $15.73. This comes after: • $500K bought at $17.32 on March 17 • $1M bought at $17.88 on March 2 He sees $SOFI trading in the $30s today and above $40 within a year. His logic: ~40% earnings growth over the next 3 years while fintech peers trade around a 1.1x PEG ratio, implying roughly 44x earnings. Apply that multiple to $SOFI and the stock looks massively undervalued at current prices. The intrinsic value of $SOFI is at least 2x higher than where it trades today. $SOFI and $HOOD remain two of the most attractive opportunities in the market.

Yesterday, the CEO of $SOFI bought another $250K worth of shares at $15.73. This comes after: • $500K bought at $17.32 on March 17 • $1M bought at $17.88 on March 2 He sees $SOFI trading in the $30s today and above $40 within a year. His logic: ~40% earnings growth over the next 3 years while fintech peers trade around a 1.1x PEG ratio, implying roughly 44x earnings. Apply that multiple to $SOFI and the stock looks massively undervalued at current prices. The intrinsic value of $SOFI is at least 2x higher than where it trades today. $SOFI and $HOOD remain two of the most attractive opportunities in the market.

Daniel

140,341 görüntüleme • 5 ay önce

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,438 görüntüleme • 10 ay önce

I read a lot of open-source code and that’s mostly how I learn to write better code. But it often takes a while to understand different projects their structure, how things are connected and GitHub’s UX isn’t that great for that. built "Gitvizz" to solve that exact problem it instantly turn your codebase into interactive graph so you can see how everything’s wired Check it out at - gitvizz. com ps: thats a real horse

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Adithya S K

35,313 görüntüleme • 1 yıl önce

Nothing beats Augment Code answering questions about large codebases. It's a free extension (works in VSCode, JetBrains, and NeoVim), and has a community edition you can run for free forever. Try this experiment: 1. Download any large open-source project from GitHub 2. Augment will index the code 3. Start asking questions about the codebase 4. Do the same using any other coding agent 5. Compare the speed and the depth of the answers you get If you have a small codebase, the differences with other coding agents won't be obvious, but if you are working on a large project, things will click immediately. Suggestion: download the Keras repository (~180,000 lines of code). I know the library well, and the answers I got from Augment were pretty impressive. By the way, Augment is a fully-fledged AI coding assistant. You can use its agent in every imaginable way: • To implement brand new functionality • To make quick edits to your code • To refactor existing functionality • To generate unit tests • To generate documentation • To handle GitHub—pull requests, commits, branching, etc My favorite feature is their "Next Edit" functionality: 1. You edit the code 2. Augment analyzes the change (across the entire codebase!) 3. Augment determines the ripple effects of that change 4. Augment suggests everything you need to update Here is a link to the tool: Thanks to the team at Augment Code for partnering with me on this post.

Santiago

34,977 görüntüleme • 1 yıl önce

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

Dan McAteer

99,802 görüntüleme • 1 yıl önce

SpaceXAI just dropped a GrokBot that works for you while you sleep: "I am running this GrokBot before I go to sleep. I wake up and task is done" here's how the Nightly Engineer works: • every night → researches the whole codebase and finds cleanup opportunities • one area → one focused cleanup PR instead of one giant refactor • verification → reproduce the issue first, then test the actual fix • by 4am → the audit is done and your cleanup PRs are waiting the result: → you go to sleep with a messy codebase → you wake up with researched, scoped cleanup PRs SpaceXAI basically turned code maintenance into a 24/7 GrokBot routine save now, then read how to build a 24/7 GrokBot agent team in the article below

SpaceXAI just dropped a GrokBot that works for you while you sleep: "I am running this GrokBot before I go to sleep. I wake up and task is done" here's how the Nightly Engineer works: • every night → researches the whole codebase and finds cleanup opportunities • one area → one focused cleanup PR instead of one giant refactor • verification → reproduce the issue first, then test the actual fix • by 4am → the audit is done and your cleanup PRs are waiting the result: → you go to sleep with a messy codebase → you wake up with researched, scoped cleanup PRs SpaceXAI basically turned code maintenance into a 24/7 GrokBot routine save now, then read how to build a 24/7 GrokBot agent team in the article below

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Again, this is why Ridges AI | SN62 will win.. 🔵 "This is an example of code that we are merging into our codebase, this is legitimate code that the agent on our platform wrote, end to end for us, and is improving our platform, without a human in the loop" ⚪️ "Because everyone is competing, its basically improving at a faster rate than everyone else and its also much cheaper" 🔵 "At this point, we're matching the performance of these very expensive incumbents at 1/70th of the cost" Shakeel People don't understand how disruptive this will be.. $TAO

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834,726 görüntüleme • 6 ay önce

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2,449,636 görüntüleme • 2 ay önce

This guy literally broke down how to master Claude Code (even if you haven't coded before): 05:28 - Level 1: Why you start with Lovable 08:04 - Level 2: The Lovable + Claude Code bridge 28:37 - Level 3: Cursor + Vercel for real production 41:17 - Level 4: Agents, skills, and CLAUDE.md 42:50 - The CLAUDE.md memory file explained 45:24 - The PM orchestrator agent pattern 53:26 - How AI-native teams spend 50% of their time 01:01:33 - Why 90% of European PMs are still non-technical 01:07:45 - The Monday morning move

This guy literally broke down how to master Claude Code (even if you haven't coded before): 05:28 - Level 1: Why you start with Lovable 08:04 - Level 2: The Lovable + Claude Code bridge 28:37 - Level 3: Cursor + Vercel for real production 41:17 - Level 4: Agents, skills, and CLAUDE.md 42:50 - The CLAUDE.md memory file explained 45:24 - The PM orchestrator agent pattern 53:26 - How AI-native teams spend 50% of their time 01:01:33 - Why 90% of European PMs are still non-technical 01:07:45 - The Monday morning move

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AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:

AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:

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Shipping to the Solana dApp Store ft. mike 🚢📱 (0:03) Intro, bringing crypto mobile, and challenging the duopoly (1:48) Seed Vault: Seamless hardware wallet signing without leaving your app (2:51) Why Solana dApp Store? Compete against a smaller pool of apps to a higher signal user group, no 30% tax (4:57) Build options: Native Android, React Native, Flutter, or convert PWAs with Bubble Wrap (7:48) Developer resources: Grants program & Q1 2026 hackathon with featured dApp store placement

Shipping to the Solana dApp Store ft. mike 🚢📱 (0:03) Intro, bringing crypto mobile, and challenging the duopoly (1:48) Seed Vault: Seamless hardware wallet signing without leaving your app (2:51) Why Solana dApp Store? Compete against a smaller pool of apps to a higher signal user group, no 30% tax (4:57) Build options: Native Android, React Native, Flutter, or convert PWAs with Bubble Wrap (7:48) Developer resources: Grants program & Q1 2026 hackathon with featured dApp store placement

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34,414 görüntüleme • 10 ay önce

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◆━━━━━━━━━━━━◆ ⚙ System Requirements ⚙ ◆━━━━━━━━━━━━◆ Here are the supported devices, minimum requirements, and recommended devices for optimal play! 🔸 iOS Minimum OS: iOS 15.0 or later Supported Devices: iPhone 6s or later Recommended Devices: iPhone 12 or later 🔸 Android Minimum OS: Android 10.0 or later Supported Devices: Devices running Android 10.0 or later Recommended Devices: Devices running Android 15.0 or later Information current as of March 23, 2026 For the best gameplay experience, we recommend using a supported device that meets the recommended specifications. Please note that some Android devices may not function properly even if the requirements are met. The comparison video footage uses: iPhone 12mini: 60 FPS, Graphics Level 5(out of 5) iPhone 7: 60 FPS, Graphics Level 1 ▼ Download Now! iOS → Android → #DISSIDIA #FF

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