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First version of JetBrains ReSharper for Visual Studio Code coming in hot! 🔥 🗺️ Navigation & Syntax Highlighting 🖊️ Editing & Completion 🆕 File, Live, Postfix Templates 🎭 Rename Refactoring 💡 Quick-Fixes & Context Actions Give it a try and tell us what you think! 🔗

JetBrains ReSharper

25,248 subscribers

15,171 Aufrufe • vor 1 Jahr •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von JetBrains ReSharper

JetBrains ReSharpervor 1 Jahr

Going to #MSBuild? Stop by the JetBrains Booth to see ReSharper in VS Code in action! Look up booth #508 to find us: #dotnet #MicrosoftBuild #MicrosoftBuild2025

Profilbild von RedDeer.Games

RedDeer.Gamesvor 4 Jahren

What are your favourite #AAAClock colours ? 🕐🕑🕒🕓🕔 Drop screenshots of your clocks in down in the comments ⏬ Head to ➡️ for more details! #indiedev #indiegame #IndieGameDev #nintendo #OLED #switchOLED

Profilbild von Bitsy 🦊

Bitsy 🦊vor 1 Jahr

@code Oh my

Profilbild von Miguel Fialho

Miguel Fialhovor 1 Jahr

@code NeoVim Next?

Profilbild von Elias Bui

Elias Buivor 1 Jahr

@code Hmm

Profilbild von Luiz Thiago

Luiz Thiagovor 1 Jahr

@code OMG

Profilbild von chriscanal

chriscanalvor 1 Jahr

@code 😳🤯

Profilbild von Viktor Dzundza

Viktor Dzundzavor 1 Jahr

@code Do you have such plugin for C++ ? I used resharper 10 years ago, it is AMAZING

Profilbild von JetBrains ReSharper

JetBrains ReSharpervor 1 Jahr

@code Thank you, Viktor! No, there's no extensions for C++ for VSC at the moment, and no immediate plans for one. However, we we'll be closely monitoring demand for such a tool. Filing a request on our issue tracker is a good place to record your interest -

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🚨 BREAKING NEWS : The all-in-one decentralized AI platform has a brand new look 💅 Our official website has been revamped to give just value to our cutting-edge suite of products & services! Check it out and tell us what you think 👉 :

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10,149 Aufrufe • vor 10 Monaten

Today, we’re thrilled to give you an exclusive first look at the alpha version of our game Dark Mythos: Veiling Darkness! In this video of the alpha version, you’ll already catch a glimpse of some mechanics and features – and trust us, it’s just the beginning. 💡 A special shoutout to our Pre Access Card holders, with cards like Emsis and Vesta you’ll soon be able to dive in and play a few rounds ahead of everyone else. For the rest of you: The wait until the beta will be so worth it! 🔥 Disclaimer: This is the Early Alpha Build (v0.0.3-alpha), so not all strategic and visual features are included yet. #IOTA #GameFi #TradingCards

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11,066 Aufrufe • vor 1 Jahr

Forget Roo, Cline, Windsurf, Cursor. Augment Code keeps raising the bar. Tried it on a fun project I hadn’t touched in months. Instead of random refactors, it rebuilt the architecture coherently, understanding the whole codebase → structure, dependencies + Git history. And where tools like Cursor often struggle with large repos or lose track of cross-file relationships... Augment mapped everything. Instantly 🤯 Once the full context is loaded, you can move ridiculously fast: → Restructure / rename components across repos → Swap between GPT-5, Claude Sonnet 4 / 4.5, and Claude Haiku via their Model Picker → Offload builds, tests, deploys to Remote Agents A few extras I really loved: → I could stay in VS Code, JetBrains IDEs... even Vim, which is v. cool! → If you prefer the terminal, the Auggie CLI now gives you the same experience headless. → It also handled a bunch of massive repos I threw at it smoothly, while Cursor struggled to even index them! → It always previews planned refactors before running them 🫶 ____ You can give Augment Code a try here → Big thx to the Augment Code team for partnering with me on this post, I learned a ton along the way! 🙏

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Andrew Ng

128,180 Aufrufe • vor 1 Jahr

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311,138 Aufrufe • vor 5 Monaten

For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

Karina

845,627 Aufrufe • vor 1 Jahr

Sehun’s ending ment for today’s live 🧡 Sehun: First of all, I think I really laughed so much for the first time in a while. I laughed and had fun too. I think that was all made possible because my members and our EXO-Ls were together with me. Just like what Junmyeon hyung said, we’re preparing a lot of things right now as well and we’re planning to show you the best version of ourselves a lot, so please look forward to it lots, everyone. I think that we’ll be able to show you guys those good sides of us soon, in the not so distant future, so I hope you’ll look forward to it lots. Yeah~ Jongin: *starts listing out all the challenges that he has to do* Sehun: As for the challenges, I didn’t really give you a definite answer yet so I’ll discuss with the members after this ends first and then proceed accordingly~

Sehun’s ending ment for today’s live 🧡 Sehun: First of all, I think I really laughed so much for the first time in a while. I laughed and had fun too. I think that was all made possible because my members and our EXO-Ls were together with me. Just like what Junmyeon hyung said, we’re preparing a lot of things right now as well and we’re planning to show you the best version of ourselves a lot, so please look forward to it lots, everyone. I think that we’ll be able to show you guys those good sides of us soon, in the not so distant future, so I hope you’ll look forward to it lots. Yeah~ Jongin: starts listing out all the challenges that he has to do Sehun: As for the challenges, I didn’t really give you a definite answer yet so I’ll discuss with the members after this ends first and then proceed accordingly~

언제나세훈이편 ❄️

40,093 Aufrufe • vor 10 Monaten

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Jerry Liu

20,857 Aufrufe • vor 5 Monaten

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this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

GREG ISENBERG

193,219 Aufrufe • vor 3 Monaten

New Andrej Karpathy interview Says AI agent failures stem from user skill, not model capability. Poor instructions cause errors. He suggests delegating 20-minute macro actions like coding and research to parallel agents and reviewing their work. --- "I think everything, like so many things, even if they don't work, I think to a large extent you feel like it's a skill issue. It's not that the capability is not there; it's that you just haven't found a way to string together what's available. Like, I didn't give good enough instructions to the agents in the file, or whatever it may be. I don't have a nice enough memory tool that I put in there, or something like that. So, it all kind of feels like a skill issue when it doesn't work to some extent. You want to see how you can parallelize them, and you want to be a 'Pierce tender,' basically. Pierce famously has a funny photo where he's in front of lots of these Codex agents behind the monitor. They all take about 20 minutes if you run them correctly and use high effort. You have multiple—you know, 10 or 20—pull requests checked out. It's just like you can do much larger macro actions. It's not just, 'Here's a line of code, here's a new function.' It's like, 'Here's a new functionality, delegate it to agent one. Here's a new functionality that's not going to interfere with the other one, give it to agent two.' Then, you try to review their work as best as you can, depending on how much you care about that code. You look for these macro actions that you can manipulate your software repository by. Another agent is doing some research, another agent is writing code, another one is coming up with a plan for some new implementation. Everything just happens in these macro actions over your repository. You're just trying to become really good at it and develop a muscle memory for it. It's very rewarding when it actually works, but it's also a new thing to learn. Hence, the psychosis." --- From No Priors YT channel (link in comment)

New Andrej Karpathy interview Says AI agent failures stem from user skill, not model capability. Poor instructions cause errors. He suggests delegating 20-minute macro actions like coding and research to parallel agents and reviewing their work. --- "I think everything, like so many things, even if they don't work, I think to a large extent you feel like it's a skill issue. It's not that the capability is not there; it's that you just haven't found a way to string together what's available. Like, I didn't give good enough instructions to the agents in the file, or whatever it may be. I don't have a nice enough memory tool that I put in there, or something like that. So, it all kind of feels like a skill issue when it doesn't work to some extent. You want to see how you can parallelize them, and you want to be a 'Pierce tender,' basically. Pierce famously has a funny photo where he's in front of lots of these Codex agents behind the monitor. They all take about 20 minutes if you run them correctly and use high effort. You have multiple—you know, 10 or 20—pull requests checked out. It's just like you can do much larger macro actions. It's not just, 'Here's a line of code, here's a new function.' It's like, 'Here's a new functionality, delegate it to agent one. Here's a new functionality that's not going to interfere with the other one, give it to agent two.' Then, you try to review their work as best as you can, depending on how much you care about that code. You look for these macro actions that you can manipulate your software repository by. Another agent is doing some research, another agent is writing code, another one is coming up with a plan for some new implementation. Everything just happens in these macro actions over your repository. You're just trying to become really good at it and develop a muscle memory for it. It's very rewarding when it actually works, but it's also a new thing to learn. Hence, the psychosis." --- From No Priors YT channel (link in comment)

Rohan Paul

23,122 Aufrufe • vor 4 Monaten

👂You asked, we listened — it’s here. We’re excited to roll out several updates you’ve been asking for, all designed to help you move faster and stay in flow. • Faster models are live Vy now gives you more control over speed, intelligence, and credit usage. Choose between Fast, Balanced, and Methodical models depending on the task, whether you want the quickest results or the most careful, in-depth execution. • Resumable Sessions You can now resume past sessions and continue working exactly where you left off, with no restarting or re-explaining. • File & image uploads You can now add files and images directly into Vy so it can reference, analyze, and act on them as part of your work. Give these a try and let us know what you think.

👂You asked, we listened — it’s here. We’re excited to roll out several updates you’ve been asking for, all designed to help you move faster and stay in flow. • Faster models are live Vy now gives you more control over speed, intelligence, and credit usage. Choose between Fast, Balanced, and Methodical models depending on the task, whether you want the quickest results or the most careful, in-depth execution. • Resumable Sessions You can now resume past sessions and continue working exactly where you left off, with no restarting or re-explaining. • File & image uploads You can now add files and images directly into Vy so it can reference, analyze, and act on them as part of your work. Give these a try and let us know what you think.

Vercept

572,978 Aufrufe • vor 6 Monaten

I think I've written the world's fastest Blender exporter. It exports full levels in 9 milliseconds. Check out this video where I show live editing of levels from blender, and it updates instantly in the game. For some context: Okay, since the beginning of development on this game project, I knew I didn't want to write a custom level editor for it and rather spend my time programming the game. I decided to use blender as the level editor, and export directly from blender to my game engine's file format. Blender only lets you write add-ons in Python, which is not just incredibly slow but also a terrible platform for this kind of systems programming work. So, after having a Python exporter for the longest time, I decided enough was enough, and I programmed this exporter in C. Blender doesn't expose any C API or interface. So my only option was to download Blender's source code and insert my code directly into Blender. And that's what I did :) So this new C exporter not only is orders of magnitude faster than the python version, but also is way more robust. And because I'm in C land, my hands are much freer to do things. There are two elements of secret sauce that make this exporter run so fast: - A custom memory arena implementation. - Lockless multithreading.

I think I've written the world's fastest Blender exporter. It exports full levels in 9 milliseconds. Check out this video where I show live editing of levels from blender, and it updates instantly in the game. For some context: Okay, since the beginning of development on this game project, I knew I didn't want to write a custom level editor for it and rather spend my time programming the game. I decided to use blender as the level editor, and export directly from blender to my game engine's file format. Blender only lets you write add-ons in Python, which is not just incredibly slow but also a terrible platform for this kind of systems programming work. So, after having a Python exporter for the longest time, I decided enough was enough, and I programmed this exporter in C. Blender doesn't expose any C API or interface. So my only option was to download Blender's source code and insert my code directly into Blender. And that's what I did :) So this new C exporter not only is orders of magnitude faster than the python version, but also is way more robust. And because I'm in C land, my hands are much freer to do things. There are two elements of secret sauce that make this exporter run so fast: - A custom memory arena implementation. - Lockless multithreading.

Taha Torabpour

205,704 Aufrufe • vor 10 Monaten

I just built a self-improving second brain in Claude Code 🤯 A brain that runs your brand: every tool reads from it, it's wired to your live data, and it gets smarter every week. All running on the Claude Agent SDK. Perfect for DTC brands and agencies whose AI output sounds generic because every new chat starts from zero. If you're re-explaining your brand to AI every single time — re-pasting the voice guidelines, re-describing the customer you've described a hundred times, re-uploading the same positioning doc you uploaded yesterday, and still editing for an hour to strip out the generic phrasing... A brand second brain fixes the entire loop: → Build 3 foundation files once: brand DNA, voice, and customer → Every skill you create reads from them automatically → Wire in live data — your ad account, competitor ads, customer reviews → A weekly routine refreshes the brain with what's actually working → Every output comes back on-brand on the first pass No re-briefing AI on every chat. No hour of editing to undo generic phrasing. No brain that goes stale the week after you build it. What a second brain gives you: → The exact 3-file foundation that runs the whole system → The skill structure that makes every tool brand-aware by default → The live-data wiring that keeps it grounded in reality → The weekly self-improvement loop that keeps it sharp → The cold-start sequence to stand it all up from zero Built 100% in Claude Code. I put together the full playbook with the file structure, the wiring, and the exact setup. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

Mike Futia

17,780 Aufrufe • vor 1 Monat

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

Amp

36,150 Aufrufe • vor 6 Monaten

Pumped to announce Distro, the first AI content strategist. Distro solves a problem I’ve personally watched thousands of founders & execs go through. Creating content & building an audience has a ton of obvious benefits: - Free customers - Constant hiring pipeline - Access to dope people - User feedback But it takes a lot of time & content skills, which most people don’t have. Distro makes this 10x easier, turning natural conversation into content in minutes. Here’s how it works: 1. Start a studio session 2 Tell Distro what you want to chat about 3. Distro develops an interview plan & has a conversation with you 4. Conversation is turned into summary, key quotes, and several post drafts 5. You can edit posts, connect your social accounts, and fire off content right from Distro Now, creating content can be a quick, daily habit that you look forward to vs. a pain in the ass you've come to dread. Huge shoutout to Dev Sharma for building a kickass agent. Try out Distro for free below… P.S. use us on web for the best experience. a ton of upgrades coming soon (including improved mobile UX).

Pumped to announce Distro, the first AI content strategist. Distro solves a problem I’ve personally watched thousands of founders & execs go through. Creating content & building an audience has a ton of obvious benefits: - Free customers - Constant hiring pipeline - Access to dope people - User feedback But it takes a lot of time & content skills, which most people don’t have. Distro makes this 10x easier, turning natural conversation into content in minutes. Here’s how it works: 1. Start a studio session 2 Tell Distro what you want to chat about 3. Distro develops an interview plan & has a conversation with you 4. Conversation is turned into summary, key quotes, and several post drafts 5. You can edit posts, connect your social accounts, and fire off content right from Distro Now, creating content can be a quick, daily habit that you look forward to vs. a pain in the ass you've come to dread. Huge shoutout to Dev Sharma for building a kickass agent. Try out Distro for free below… P.S. use us on web for the best experience. a ton of upgrades coming soon (including improved mobile UX).

Alex Lieberman

115,331 Aufrufe • vor 1 Jahr