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🤩 30% more speed and increased quality in high-resolution image upscaling I've improved clarity upscaling model by reducing the creativity by 20% in every internal upscaling step. It makes the amount of hallucination much more controllable, thus increasing the quality while also being 30% faster ⏩Now live: App: Code:... show more

philz1337x

17,401 subscribers

28,236 просмотров • 2 лет назад •via X (Twitter)

Наука и технологии Образование Здоровье и велнес

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля philz1337x

philz1337x2 лет назад

Please DM me if you want access to the beta ClarityAI API

Фото профиля Dylan

Dylan2 лет назад

can i use this on sd forge or only a1111?

Фото профиля philz1337x

philz1337x2 лет назад

Yes, check my GitHub repo for params

Фото профиля 🅻🅾🅵🅸911

🅻🅾🅵🅸9112 лет назад

LOL thats a completely different cat .

Фото профиля philz1337x

philz1337x2 лет назад

In most AI images, a hallucination is welcomed because it can fix artifacts and deformations. If you don't want to change the image, you can just go very low with creativity.

Фото профиля Klaas

Klaas2 лет назад

Wow again amazing, what is the benefit of using your API vs replicate?

Фото профиля philz1337x

philz1337x2 лет назад

Replicate is great if you want something very technical where you can tinker around and find the best parameters by yourself for your use case. My API is very easy to use because I do all the optimisations in the backend, like lower creativity for higher resolutions and multiple presets, and I constantly improving it and I will add premium API features in the future that might not be on the Replicate model.

Фото профиля Tim Green 💻

Tim Green 💻2 лет назад

Would you say clarity is better for increasing definition or fixing malformed generations (i.e. malformed limbs, fine details in things like food that aren’t generated properly)?

Фото профиля philz1337x

philz1337x2 лет назад

You can do both: low creativity -> increase definiton high creativity -> fix malformed generations

Фото профиля Andre.W

Andre.W2 лет назад

And when will you release the improvement open source?

Фото профиля philz1337x

philz1337x2 лет назад

The improvement is already live:

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🤩 75% cheaper Image upscaling 🤑 GPU costs for image upscaling from 1 to 4 Megapixels are less then a penny now 💵 Since the speed improvements I made, Clarity Upscaler now runs just as fast on both the cheaper A40 and the pricier A100 GPUs. The total GPU costs have decreased to just 25% of the amount before the improvement App users on Premium and Business get much more tokens now 😀App: ⚙️API: 🛠️Code:

🤩 75% cheaper Image upscaling 🤑 GPU costs for image upscaling from 1 to 4 Megapixels are less then a penny now 💵 Since the speed improvements I made, Clarity Upscaler now runs just as fast on both the cheaper A40 and the pricier A100 GPUs. The total GPU costs have decreased to just 25% of the amount before the improvement App users on Premium and Business get much more tokens now 😀App: ⚙️API: 🛠️Code:

philz1337x

69,210 просмотров • 2 лет назад

✨ Clarity Upscaler now has a Pro version It's the first upscaler that can add realism without changing a person's identity Two years ago I launched Clarity Upscaler, which has since made 30 million runs. I still can't really believe it 🤩 It's great for creative upscaling but it always changes people's identity too much. I made Crystal to solve that, but it's not able to add details or realism. Now we have Clarity Pro Upscaler which finally solves all that and can enhance images without changing the content. In the coming days I will make it even more powerful by adding parameters and increasing the max resolution even further (it's already at 8K!) Happy to hear your feedback

✨ Clarity Upscaler now has a Pro version It's the first upscaler that can add realism without changing a person's identity Two years ago I launched Clarity Upscaler, which has since made 30 million runs. I still can't really believe it 🤩 It's great for creative upscaling but it always changes people's identity too much. I made Crystal to solve that, but it's not able to add details or realism. Now we have Clarity Pro Upscaler which finally solves all that and can enhance images without changing the content. In the coming days I will make it even more powerful by adding parameters and increasing the max resolution even further (it's already at 8K!) Happy to hear your feedback

philz1337x

50,179 просмотров • 3 месяцев назад

There are two things worth pointing out about upscaling in #AssassinCreed Black Flag Resynced. 1. Incorrect resolution scaling with Balanced and Performance modes: Using Balanced or Performance with any upscaler causes the game's Resolution Scale (output resolution) to drop, which also lowers the internal render resolution. As a result, these modes apply incorrect scaling and the image quality is noticeably worse than it should be. For now, the workaround is to set the Resolution Scale to 100% and manually adjust the Max Dynamic Resolution (internal resolution) to match the expected scaling for Balanced or Performance mode. 2. The game defaults to the older DLSS 3 CNN model: By default, the game uses the older DLSS 3 Preset E. While it's still a fine option, it doesn't match the image quality of the DLSS 4 Transformer model (Preset K) or the newer DLSS 4.5 (Preset L and M). So I highly recommend forcing at least Preset K through the NVIDIA App (or another tool). Even on RTX 20/30 series GPUs, with Preset K, you can maintain the same performance as before while getting better image quality by using a lower upscaling mode, like Balanced instead of Quality. Hopefully Ubisoft Support fixes the scaling issue and adds an in-game option to choose between DLSS 3, DLSS 4, and DLSS 4.5.

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BenchmarKing

38,817 просмотров • 1 месяц назад

Crystal Upscaler is now up to 10× faster 🤯 Upscaling to 1K took 12 s → now 1.2 s 🤩 2K: 16 s → 4 s 4K: 47 s → 15 s 5K: 71 s → 21 s I tracked down everything that slowed down the upscale, and now it’s finally using the full potential of the H100 GPU 🔥 Next step: increasing the 5K limit and maybe video upscaling?

Crystal Upscaler is now up to 10× faster 🤯 Upscaling to 1K took 12 s → now 1.2 s 🤩 2K: 16 s → 4 s 4K: 47 s → 15 s 5K: 71 s → 21 s I tracked down everything that slowed down the upscale, and now it’s finally using the full potential of the H100 GPU 🔥 Next step: increasing the 5K limit and maybe video upscaling?

philz1337x

299,062 просмотров • 9 месяцев назад

✨ I upscaled a 64x64 pixel image to 37 Megapixels 🤯 Workflow: the new Clarity AI Low Res for upscaling from 64 to 1024px and Clarity AI regular for 1024 to 6144px. I made both models open-source and am now implementing the low-resolution option to my app so users can also upscale very low-resolution images to up to 37 Megapixels with one click. So, I need to add a x100 option 🤩 ⚙️ API: 🛠️ Code:

✨ I upscaled a 64x64 pixel image to 37 Megapixels 🤯 Workflow: the new Clarity AI Low Res for upscaling from 64 to 1024px and Clarity AI regular for 1024 to 6144px. I made both models open-source and am now implementing the low-resolution option to my app so users can also upscale very low-resolution images to up to 37 Megapixels with one click. So, I need to add a x100 option 🤩 ⚙️ API: 🛠️ Code:

philz1337x

215,343 просмотров • 2 лет назад

✨ For the last few months I have been reverse engineering Magnific AI's famous upscaler It uses MultiDiffusion, ControlNet tiles and details LoRas In true AI spirit, I am open sourcing it for everyone to use for free in your apps It's designed to easily control the amount of hallucination, resemblance and creativity. You can use it on Replicate now: Or run it locally with A1111'a web UI (parameters are in the comments) The code is fully open source:

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philz1337x

565,637 просмотров • 2 лет назад

You might have seen some posts that Highguard runs at a fake in-game resolution, but its not exactly what you think. Steam User Captain_SmellyRat noticed this issue first by pointing out that if you set render scale at 100%,the game would still show 80% of the resolution in DLSS hud UI. So If you're playing at 1080p, the internal resolution would be 864p and If you don't change the default render scale (which seems to be always set to 75%) the final resolution would be 648p. However it turns out that the in-game resolution is changed in value directly from post-processing settings that you set. Post-processing quality settings would change the internal resolution as follows: Low - 80% of in-game resolution Medium - 90% of in-game resolution High - 100% of in-game resolution If you're playing at high settings, you will not notice the game looking blurry, but if you play at medium or low settings, the game will look extremely blurry even though you think you're playing at 1080p or 4k. I find it weird that post-processing quality directly affects the internal game resolution, but if you're playing the game and it looks blurry to you, make sure you set the post processing quality to high. Whenever this was intentional or not to achieve a higher FPS, I don't exactly know. However, I still think the developers should have clarified what each settings affects the game, which in this case here it directly affects the resolution.

You might have seen some posts that Highguard runs at a fake in-game resolution, but its not exactly what you think. Steam User Captain_SmellyRat noticed this issue first by pointing out that if you set render scale at 100%,the game would still show 80% of the resolution in DLSS hud UI. So If you're playing at 1080p, the internal resolution would be 864p and If you don't change the default render scale (which seems to be always set to 75%) the final resolution would be 648p. However it turns out that the in-game resolution is changed in value directly from post-processing settings that you set. Post-processing quality settings would change the internal resolution as follows: Low - 80% of in-game resolution Medium - 90% of in-game resolution High - 100% of in-game resolution If you're playing at high settings, you will not notice the game looking blurry, but if you play at medium or low settings, the game will look extremely blurry even though you think you're playing at 1080p or 4k. I find it weird that post-processing quality directly affects the internal game resolution, but if you're playing the game and it looks blurry to you, make sure you set the post processing quality to high. Whenever this was intentional or not to achieve a higher FPS, I don't exactly know. However, I still think the developers should have clarified what each settings affects the game, which in this case here it directly affects the resolution.

NikTek

20,832 просмотров • 6 месяцев назад

People obsess over posting cadence, hooks, and algorithms. But bad video quality kills all of it before the algorithm even has a chance. We partnered with Topaz to bring Starlight Precise 2.5 inside HeyGen. The best upscaling model in the world can now be part of your workflow. Any resolution in. 4K out. RT + comment "UPSCALER" below and I'll send you 100 credits to try it out. Must follow.

People obsess over posting cadence, hooks, and algorithms. But bad video quality kills all of it before the algorithm even has a chance. We partnered with Topaz to bring Starlight Precise 2.5 inside HeyGen. The best upscaling model in the world can now be part of your workflow. Any resolution in. 4K out. RT + comment "UPSCALER" below and I'll send you 100 credits to try it out. Must follow.

Joshua Xu

57,536 просмотров • 4 месяцев назад

zeroscope_v2 XL, A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576 Model on Hugging Face : This model was trained with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution. zeroscope_v2_XL is specifically designed for upscaling content made with zeroscope_v2_576w using vid2vid in the 1111 text2video extension by kabachuha. Leveraging this model as an upscaler allows for superior overall compositions at higher resolutions, permitting faster exploration in 576x320 (or 448x256) before transitioning to a high-resolution render. zeroscope_v2_XL uses 15.3gb of vram when rendering 30 frames at 1024x576

zeroscope_v2 XL, A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576 Model on Hugging Face : This model was trained with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution. zeroscope_v2_XL is specifically designed for upscaling content made with zeroscope_v2_576w using vid2vid in the 1111 text2video extension by kabachuha. Leveraging this model as an upscaler allows for superior overall compositions at higher resolutions, permitting faster exploration in 576x320 (or 448x256) before transitioning to a high-resolution render. zeroscope_v2_XL uses 15.3gb of vram when rendering 30 frames at 1024x576

AK

714,363 просмотров • 3 лет назад

Definitively a better effort with the upscaling but the embellishments on the face and the magnetic clasp additions make it pretty cringe in a few frames. The mirage effect on the hairline is common with AI upscaling. The magnetic clasp not moving is forced and makes the clasp change shape and it doesn't match the movement of the shirt. The smoothing and shading on the face is overworked in some frames and just rushed in others (the round blend tool mark on the sideburns for a few frames). The face details for the nose and chin are rough and don't have enough unique frames to make it smooth. This makes another attempt to make people believe that the magnetic clasp didn't come loose from the shirt, more subtle than the others but the effect is still there. Why? Why the effort for such a small detail? Alot of this could be just artifacts from the upscaling (undoubtedly this is a upscaling of the original over the shoulder angle) but some details have been added frame by frame (better than previous attempts with alot more modified frames in sequence but still kinda rushed and lacking polish). Even if someone created a completely polished modified angle you would still have the problem of consistently between angles. No amount of polish and resolution will get around the details we have already seen in the unadulterated originals.

Definitively a better effort with the upscaling but the embellishments on the face and the magnetic clasp additions make it pretty cringe in a few frames. The mirage effect on the hairline is common with AI upscaling. The magnetic clasp not moving is forced and makes the clasp change shape and it doesn't match the movement of the shirt. The smoothing and shading on the face is overworked in some frames and just rushed in others (the round blend tool mark on the sideburns for a few frames). The face details for the nose and chin are rough and don't have enough unique frames to make it smooth. This makes another attempt to make people believe that the magnetic clasp didn't come loose from the shirt, more subtle than the others but the effect is still there. Why? Why the effort for such a small detail? Alot of this could be just artifacts from the upscaling (undoubtedly this is a upscaling of the original over the shoulder angle) but some details have been added frame by frame (better than previous attempts with alot more modified frames in sequence but still kinda rushed and lacking polish). Even if someone created a completely polished modified angle you would still have the problem of consistently between angles. No amount of polish and resolution will get around the details we have already seen in the unadulterated originals.

Jon Bray

189,399 просмотров • 9 месяцев назад

Rendering 3D is gonna be SO MUCH FASTER 🤯 Thanks to NVIDIA DLSS Technology 🔥 We were at the Blender 🔶 booth at SIGGRAPH 25 🇨🇦, and we saw the Demo for Blender Cycles viewport + DLSS which blew our minds. In Blender, DLSS (Deep Learning Super Sampling) uses AI to predict and reconstruct missing pixels by rendering at a lower resolution and then intelligently upscaling in real time, boosting frame rates while preserving near-native image quality. We have a FULL VLOG of SIGGRAPH coming up on our Youtube channel soon so if you wanna see all the Tech updates make sure you go and turn on notification 🔔

Rendering 3D is gonna be SO MUCH FASTER 🤯 Thanks to NVIDIA DLSS Technology 🔥 We were at the Blender 🔶 booth at SIGGRAPH 25 🇨🇦, and we saw the Demo for Blender Cycles viewport + DLSS which blew our minds. In Blender, DLSS (Deep Learning Super Sampling) uses AI to predict and reconstruct missing pixels by rendering at a lower resolution and then intelligently upscaling in real time, boosting frame rates while preserving near-native image quality. We have a FULL VLOG of SIGGRAPH coming up on our Youtube channel soon so if you wanna see all the Tech updates make sure you go and turn on notification 🔔

Bad Decisions Studio

25,574 просмотров • 1 год назад

2026 = The end of upscaling? One of generative AI's biggest drawbacks was the resolution, and I'm not talking about the output resolution as 1080p would be enough for most of the projects. I'm talking about the "internal" resolution of how these models work, that makes small faces distorted in your generations, the ones that will make a wide-shot impossible because the small details will morph and of course with some models text rendering is not possible. Upscaling with AI was always a strange case, local upscalers sometimes lacked the quality compared to the closed source competitors, but those can be pretty pricey and the results are sometimes way too "creative". So I was very, very interested when Kling AI announced native, not upscaled 4K generation but wanted to have a good method test it. Again, I never missed the 4K output resolution with genAI, but I missed the nuanced detail rendering of the engines and the lack of that made it impossible to create for example very wide shots with tiny details. So I fired up some image models to generate stills inspired by Morocco and see how Kling behaves, now in 4K. Some notable moments: 00:22 - Skin and eye texture, the movements, the little coins in the headdress 01:18 - The reflection in the water 01:39 - The reflection in the eye, and the scarf textures 02:10 - Check all the details on the rails 02:20 - Water particles and leaves 02:29 - The rendering of the rusty parts of the rail 02:50 - How the waves change the reflection in the foreground 02:55 - The cloud movement in the background

2026 = The end of upscaling? One of generative AI's biggest drawbacks was the resolution, and I'm not talking about the output resolution as 1080p would be enough for most of the projects. I'm talking about the "internal" resolution of how these models work, that makes small faces distorted in your generations, the ones that will make a wide-shot impossible because the small details will morph and of course with some models text rendering is not possible. Upscaling with AI was always a strange case, local upscalers sometimes lacked the quality compared to the closed source competitors, but those can be pretty pricey and the results are sometimes way too "creative". So I was very, very interested when Kling AI announced native, not upscaled 4K generation but wanted to have a good method test it. Again, I never missed the 4K output resolution with genAI, but I missed the nuanced detail rendering of the engines and the lack of that made it impossible to create for example very wide shots with tiny details. So I fired up some image models to generate stills inspired by Morocco and see how Kling behaves, now in 4K. Some notable moments: 00:22 - Skin and eye texture, the movements, the little coins in the headdress 01:18 - The reflection in the water 01:39 - The reflection in the eye, and the scarf textures 02:10 - Check all the details on the rails 02:20 - Water particles and leaves 02:29 - The rendering of the rusty parts of the rail 02:50 - How the waves change the reflection in the foreground 02:55 - The cloud movement in the background

László Gaál

17,514 просмотров • 3 месяцев назад

That’s it. That’s the tweet. The Realtime API now supports WebRTC—you can add Realtime capabilities with just a handful of lines of code. We’ve also cut prices by 60%, added GPT-4o mini (10x cheaper than previous prices), improved voice quality, and made inputs more reliable.

That’s it. That’s the tweet. The Realtime API now supports WebRTC—you can add Realtime capabilities with just a handful of lines of code. We’ve also cut prices by 60%, added GPT-4o mini (10x cheaper than previous prices), improved voice quality, and made inputs more reliable.

OpenAI Developers

523,494 просмотров • 1 год назад

Wuthering Waves PS5 Performance Test • Test Setup PS5 Slim (brand new, clean, no dust) Room temperature: 22°C with AC • Map Issue Yes, it's real. The new map is locked to around 2 FPS when opened from the menu, making it extremely laggy. • Stuttering Problems The game has severe stuttering. In some areas, it even freezes for 4–5 seconds, making the experience frustrating. • My Observation From my testing, the game appears to be running at a very high internal resolution on PS5 instead of relying on aggressive upscaling. For example, DLSS Quality at 1440p renders the game internally at approximately 1707×960 before upscaling it to 2560×1440. On PS5, however, it looks like the game is rendering at or near 2560×1440 internally and then upscaling to 4K. If that's true, it's an extremely demanding target for a base PS5. • Is This Fixable? Yes. If the game is indeed using such a high internal resolution, lowering it and using better reconstruction or dynamic resolution scaling could significantly improve performance. Running at such a high internal resolution on a base PS5 doesn't make much sense, and the game has suffered from performance issues for nearly 12 months. • Final Thoughts Kuro Games needs to address this. At this point, we can't keep blaming players, their hardware, or the engine. If the high internal resolution is the cause, it should be adjusted. If it isn't, then something else in the game's optimization is seriously wrong. #WutheringWaves #Gacha

Kaito

49,355 просмотров • 1 месяц назад

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Aaron Levie

103,811 просмотров • 11 месяцев назад

✨ I increased the max resolution for my open-source upscaler to 20,000 x 20,000 pixels (or 400 megapixels) 🤯 This makes it by far the highest resolution AI upscaler available It takes 26 minutes to run on an A100 GPU 80GB and produces a 100MB JPG file 😱 The higher upscale resolution is possible because I am running a second replicate model now which runs on a larger GPU with 80GB VRAM I would like to increase the resolution even higher but it runs out of VRAM for higher resolutions which I might be able to fix by changing the tiling settings 🛠️ My code is open-source, and I also host a very easy-to-use version on my website Clarity AI, where users can upscale anything between 2 and 20,000 pixels now

✨ I increased the max resolution for my open-source upscaler to 20,000 x 20,000 pixels (or 400 megapixels) 🤯 This makes it by far the highest resolution AI upscaler available It takes 26 minutes to run on an A100 GPU 80GB and produces a 100MB JPG file 😱 The higher upscale resolution is possible because I am running a second replicate model now which runs on a larger GPU with 80GB VRAM I would like to increase the resolution even higher but it runs out of VRAM for higher resolutions which I might be able to fix by changing the tiling settings 🛠️ My code is open-source, and I also host a very easy-to-use version on my website Clarity AI, where users can upscale anything between 2 and 20,000 pixels now

philz1337x

165,069 просмотров • 1 год назад

How can play you Anoma testnet ? high potential and airdrop possibility 1-) First, you need a code to access the testnet. I'll give it to those who comment and genuinely want it. (if open invite code) You can also be active and turn on Anoma notifications to find it. 2) I explained it step by step in the video, but for those who don't understand or don't want to watch, I'll explain it step by step in the rest of the post. 👇

How can play you Anoma testnet ? high potential and airdrop possibility 1-) First, you need a code to access the testnet. I'll give it to those who comment and genuinely want it. (if open invite code) You can also be active and turn on Anoma notifications to find it. 2) I explained it step by step in the video, but for those who don't understand or don't want to watch, I'll explain it step by step in the rest of the post. 👇

mufettis 🐋

20,885 просмотров • 1 год назад

Dreamina Seedance 2.0 is by far the best video model I've tried, and Dreamina makes it even better. You can try it in the link below. It's not just about the quality of the output, but about how much control you have over your video's look. Watch my video here. I'm attaching reference images and asking the model to generate a video using them. I can reference each image using the @ symbol to instruct the model which image to use. You can even upload a clip and use its camera movement, styles from an image, and audio vibe from a track. By the way, you can take an existing video and replace, remove, or add elements to it while the model preserves everything else. This is the closest we've gotten to "editing videos like photos".

Dreamina Seedance 2.0 is by far the best video model I've tried, and Dreamina makes it even better. You can try it in the link below. It's not just about the quality of the output, but about how much control you have over your video's look. Watch my video here. I'm attaching reference images and asking the model to generate a video using them. I can reference each image using the @ symbol to instruct the model which image to use. You can even upload a clip and use its camera movement, styles from an image, and audio vibe from a track. By the way, you can take an existing video and replace, remove, or add elements to it while the model preserves everything else. This is the closest we've gotten to "editing videos like photos".

Santiago

45,143 просмотров • 4 месяцев назад

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

Om Patel

159,475 просмотров • 4 месяцев назад