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30 hours. One agent run. Sonnet 4.5 handled a full-day coding job end-to-end with lower latency and fewer handoffs.

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Superhuman AI

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124,502 görüntüleme • 8 ay önce •via X (Twitter)

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ICYMI, GitHub Copilot coding agent now works with Claude Sonnet 4.5 - which you can leverage through Visual Studio Code's deep coding agent integration.
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ICYMI, GitHub Copilot coding agent now works with Claude Sonnet 4.5 - which you can leverage through Visual Studio Code's deep coding agent integration.

Visual Studio Code

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Claude Sonnet 4.5 vs 4.0 (measured on coding tasks): App from scratch → 4.5: ~20min, functional build. → 4.0: 40+min, lower quality. Simple code change → 4.5: 3 tool calls, correct edit. → 4.0: longer chain, same result. Complex refactor → 4.5: faster + tests passed. → 4.0: slower + failed output. 4.5 reduces wasted cycles—less time waiting, fewer retries, more working code.
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Claude Sonnet 4.5 vs 4.0 (measured on coding tasks): App from scratch → 4.5: ~20min, functional build. → 4.0: 40+min, lower quality. Simple code change → 4.5: 3 tool calls, correct edit. → 4.0: longer chain, same result. Complex refactor → 4.5: faster + tests passed. → 4.0: slower + failed output. 4.5 reduces wasted cycles—less time waiting, fewer retries, more working code.

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🚨 One Prompt To A Fully Functional SaaS App And Complete Software Opus 4.7 -> front-end GPT 5.5 -> long running complex backend Gemini 3.5 - > AI chatbot embedded in the app Sonnet 4.6 -> scheduled task mask management Kimi 2.6 -> simple cron jobs One prompt will build AND test everything - complete end -to-end execution multi-agent systems where each agent specializes in a particular task - design, testing, engineering
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🚨 One Prompt To A Fully Functional SaaS App And Complete Software Opus 4.7 -> front-end GPT 5.5 -> long running complex backend Gemini 3.5 - > AI chatbot embedded in the app Sonnet 4.6 -> scheduled task mask management Kimi 2.6 -> simple cron jobs One prompt will build AND test everything - complete end -to-end execution multi-agent systems where each agent specializes in a particular task - design, testing, engineering

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"more than twice the speed" is underselling Haiku tbh built a way to directly compare Sonnet v Haiku 4.5 and it's roughly 3.5x faster, but the UX feels SO much better because Haiku stays inside the "flow window". obviously end to end latency varies a lot so Ant can't report a real number without production usage but you should try heads up comparisons
0:53

"more than twice the speed" is underselling Haiku tbh built a way to directly compare Sonnet v Haiku 4.5 and it's roughly 3.5x faster, but the UX feels SO much better because Haiku stays inside the "flow window". obviously end to end latency varies a lot so Ant can't report a real number without production usage but you should try heads up comparisons

swyx

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Claude Sonnet 4.5 is now the default model for Augment Code. We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker. Here’s how Sonnet 4.5 compares to Sonnet 4:
1:23

Claude Sonnet 4.5 is now the default model for Augment Code. We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker. Here’s how Sonnet 4.5 compares to Sonnet 4:

Augment Code

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Sanji shares his Higgsfield Supercomputer playbook to run marketing end-to-end. He lets the agent analyze his niche, find the winning formula, generate 100+ variations, and run A/B tests at scale, with the agent learning from every run. How do you use Supercomputer for scaling?
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Sanji shares his Higgsfield Supercomputer playbook to run marketing end-to-end. He lets the agent analyze his niche, find the winning formula, generate 100+ variations, and run A/B tests at scale, with the agent learning from every run. How do you use Supercomputer for scaling?

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🚨BREAKING: Claude Sonnet 4.5 just dropped and it's INSANE It can literally work for 30 hours straight BY ITSELF If you aren't taking advantage of everything new here you're falling behind Here's everything you need to know about Sonnet 4.5 and how to get the most out of it:
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🚨BREAKING: Claude Sonnet 4.5 just dropped and it's INSANE It can literally work for 30 hours straight BY ITSELF If you aren't taking advantage of everything new here you're falling behind Here's everything you need to know about Sonnet 4.5 and how to get the most out of it:

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Here’s how to build a Slack clone with Claude 3.7 Sonnet and Cursor Agent in v0.46. Perfect for *anyone* wanting to pick up AI coding tools. Learn how to build an app 100% from scratch with the newest AI coding workflows. Watch for 1hr+ of agentic coding.
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Here’s how to build a Slack clone with Claude 3.7 Sonnet and Cursor Agent in v0.46. Perfect for *anyone* wanting to pick up AI coding tools. Learn how to build an app 100% from scratch with the newest AI coding workflows. Watch for 1hr+ of agentic coding.

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good morning /v1/chat/completions This is a test we ran overnight on TensorRT-LLM with modified kernels serving a custom 1B parameter model we trained for a customer ~200ms end-to-end latency (not TTFB, full request). Beats their current Cerebras stack on latency and quality
0:23

good morning /v1/chat/completions This is a test we ran overnight on TensorRT-LLM with modified kernels serving a custom 1B parameter model we trained for a customer ~200ms end-to-end latency (not TTFB, full request). Beats their current Cerebras stack on latency and quality

Sam Hogan 🇺🇸

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We are living in the most insane timeline. I just asked Claude Code (with Claude Sonnet 4.5) to develop an MCP Server (end-to-end) that allows me to programatically create n8n workflows from within Claude Code itself. Took about 10 mins!
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We are living in the most insane timeline. I just asked Claude Code (with Claude Sonnet 4.5) to develop an MCP Server (end-to-end) that allows me to programatically create n8n workflows from within Claude Code itself. Took about 10 mins!

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Real-time video agents are here. Today, we’re sharing how we built Runway Characters, allowing you to turn one image into a fully expressive, conversational video agent streaming at 24 frames per second in HD. With just 1.75 seconds of end-to-end latency. Learn more below.
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Real-time video agents are here. Today, we’re sharing how we built Runway Characters, allowing you to turn one image into a fully expressive, conversational video agent streaming at 24 frames per second in HD. With just 1.75 seconds of end-to-end latency. Learn more below.

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Claude Cowork is cooked? With Claude Cowork, you’re still prompting one task at a time. LobeHub users deploy agent teams that run the entire workflow end-to-end.. 1.5x faster, 4x cheaper than Manus Tutorial below:
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Claude Cowork is cooked? With Claude Cowork, you’re still prompting one task at a time. LobeHub users deploy agent teams that run the entire workflow end-to-end.. 1.5x faster, 4x cheaper than Manus Tutorial below:

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This is Claude Sonnet 4.6: our most capable Sonnet model yet. It’s a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It also features a 1M token context window in beta.
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This is Claude Sonnet 4.6: our most capable Sonnet model yet. It’s a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It also features a 1M token context window in beta.

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GLM-5, Gameboy and Long-Task Era → 700+ tool calls, 800+ context handoffs, and a single agent running for over 24 hours.
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GLM-5, Gameboy and Long-Task Era → 700+ tool calls, 800+ context handoffs, and a single agent running for over 24 hours.

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“Real-world impact has come much faster with AI than it did with mobile.” -Mike Krieger AI is already changing budgets, workflows, and P&Ls. I sat with Mike Krieger, CPO at Anthropic. Here’s what he told me: • How AI is driving revenue today • Sonnet 4.5: Opus-level brains at 1/5 the cost • Agents that can run 30 hours on tough coding tasks • How Claude Code lands in the enterprise Watch our full conversation below 👇

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