In partnership with
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BUILDER HUSTLE
AI · TECH · STARTUPS
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In This Issue
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🎬 Seedance 2.0 Skill OS Turns Prompting Into Filmmaking
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📚 LangChain's OpenWiki Writes Your Codebase Docs for You
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🎨 CapCut Is Bringing Dreamina Seedance 2.5, and It's a Big Jump
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⚡ CubeSandbox Runs Thousands of AI Agents in Milliseconds
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🎬 SEEDANCE 2.0 SKILL OS · OPEN SOURCE · AI VIDEO
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This Open-Source Skill Turns Random Prompting Into a Real Film Set.
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Seedance 2.0 Skill OS is a free, open source skill package that gives structure to AI video generation with Seedance 2.0. Instead of hoping a single prompt gets you a good shot, it introduces proper control over camera movement, pacing, storyboarding, scene breakdown, actions, and visual style, closer to how an actual film set operates. That structure turns AI video generation from something luck based into a repeatable workflow, which matters a lot once you are trying to produce multiple consistent shots rather than one lucky clip.
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📌 Structured camera and scene control is the difference between random generations and something that actually looks directed.
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⚡ It works well with coding agents like Claude Code, so you can drive the whole video workflow from a single skill file.
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Get Seedance 2.0 Skill OS on GitHub →
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📚 LANGCHAIN · OPENWIKI · CODING AGENTS
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OpenWiki Keeps Your Codebase Documented So Your Agent Doesn't Have To Guess.
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LangChain open sourced OpenWiki, a CLI and agent that automatically writes and maintains a wiki for your entire codebase, built specifically for coding agents to reference. It plugs into your existing setup, links directly into files like AGENTS.md, and keeps everything current through a scheduled GitHub Action instead of relying on someone manually updating docs. This solves a real pain point where teams end up stuffing everything into one giant CLAUDE.md file just to give an agent enough context, which quickly becomes unmanageable as a codebase grows.
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📌 Automatic updates matter more than the initial wiki generation, since stale documentation is usually worse than none at all.
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⚡ Built on DeepAgents with optional LangSmith tracing, it fits naturally into teams already using LangChain's agent tooling.
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🔭 As codebases grow, giving agents structured long term context instead of one bloated file is going to matter a lot more than better prompting alone.
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Explore OpenWiki on GitHub →
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You've seen the AI demos. Viktor does it without you watching.
The AI tool you tried last quarter waited for a prompt, hallucinated a number, then asked if you'd like a summary.
Viktor opened a PR at 2am, rebased it against main, ran your test suite, and posted a note in #eng: "Two flaky tests in payments service, both pre-existing. Recommended merging after fixing them." Then drafted the customer reply for the support ticket the bug created.
That's 619K autonomous actions per day across 20,000+ teams. Not chat replies. Real work shipped to GitHub, Stripe, Linear, Notion, and 3,000+ other tools, from inside Slack and Microsoft Teams.
You don't supervise him any more than you supervise a senior engineer.
SOC 2 certified. Your data never trains models.
"It's what you probably originally thought AI was going to be when you first heard of it in sci-fi movies." Tyler, CEO.
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🎨 CAPCUT · DREAMINA SEEDANCE 2.5 · COMING SOON
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CapCut Is Getting a Seedance Upgrade With 30-Second Scenes.
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CapCut announced that Dreamina Seedance 2.5 is coming soon across Web, Desktop, and Mobile, bringing a meaningful jump in what the model can handle in one go. The upgrade supports up to 50 multimodal references, generates scenes up to 30 seconds long, and promises better creative control with more reliable results than earlier versions. Paired with CapCut's editing tools, it points toward a smoother pipeline where generation and editing happen in the same place, useful for animations, short dramas, social content, and marketing videos.
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📌 30-second single generations are a big jump from the short clips most AI video tools are still limited to.
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⚡ Supporting 50 references gives creators far more control over consistency across characters, style, and scenes.
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Learn more about CapCut →
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⚡ CUBESANDBOX · TENCENT CLOUD · OPEN SOURCE
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A Sandbox That Boots in 60ms and Runs Thousands of Agents Per Machine.
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Tencent Cloud open sourced CubeSandbox under Apache 2.0, a high performance sandbox built on Rust and KVM for running AI agents in fully isolated environments. It boots in under 60 milliseconds, roughly a third of typical container start times, and uses less than 5MB of memory per instance, which lets thousands of agents run on a single machine. Each sandbox gets its own dedicated guest OS kernel through hardware level virtualization, avoiding the shared kernel risks that come with standard container isolation.
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📌 Hardware level isolation means a compromised agent in one sandbox cannot affect any other sandbox on the same machine.
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⚡ Sub-5MB memory overhead per instance is what actually makes thousands of concurrent agents on one host realistic instead of theoretical.
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🔭 E2B compatibility removes the usual migration cost, so teams running agent swarms can test this without a rebuild.
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Explore CubeSandbox on GitHub →
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Modern Pricing Models Break Finance (And How to Fix It)
Usage-based and hybrid pricing models are reshaping B2B revenue and creating real complexity for finance teams. Tabs and PwC break down what it means for rev rec, forecasting, and ops. Watch the on-demand recording for practical frameworks you can actually use.
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👀 GEMINI OMNI
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Stay sharp,
Builder Hustle
