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This is a feature guide for an AI tool that transforms video clips by changing their visual style, setting, or character while preserving the original motion and framing. You upload a 2-15 second clip, describe what you want to change, and get back a private 720p or 1080p variation.
- The tool uses your source video's motion and camera work as a fixed guide while applying new visual treatments (anime, 3D, watercolor, cinematic) or relocating scenes to different settings and lighting conditions
- Input videos must be 2-15 seconds, under 50 MB, with clear readable movement and a short edge between 480-720 pixels; outputs are private to your account and stay available in history
- Results aren't frame-perfect copies — faces, details, timing, and framing can shift because the AI interprets both the source and your prompt, so focused single-direction requests work better than multiple changes
This issue covers Apple’s return to design-led product development under incoming CEO John Ternus, WhatsApp’s new message animations on iOS, and AI world-model startup Odyssey’s $1.45 billion valuation. It also dives into the shift from T-shaped UX roles to cross-discipline “polymath architects,” non-developer AI system builders, the rise of SKILL.md for guiding AI coding agents, and the often-overlooked UX details that build trust in payment flows.
- John Ternus is set to restore design-led leadership at Apple as incoming CEO, pushing beauty alongside specs and fronting hardware like the foldable iPhone
- Odyssey raised a $310M Series B at a $1.45B valuation to build real-world AI "world models," with Amazon, AMD Ventures and GV backing it and AWS as preferred cloud
- UX/dev roles are shifting from narrow "T-shaped" expertise toward "polymath architects," while non-technical builders still struggle with opaque, trial-and-error AI systems
- SKILL.md files are emerging as a way to give AI coding agents versioned, team-specific standards (CSS Grid, design tokens, accessibility) for consistent output
This issue of TLDR Dev brings you an AI context webinar, tutorials on storing HTML in favicons and adding JSON-LD to personal sites, plus deep dives on agentic AI, new developer tools (Recall, Loupe), and simplified AI agent deployments with temporary Cloudflare accounts. It also covers software buy-vs-build economics, ClickHouse’s decade of growth, common CORS pitfalls, startup funding news, and tips for getting work approved without explicit yes.
- AI tools now power 60% of engineering work but only 20% run unsupervised, exposing a gap that a dedicated context layer (not just more MCP memory) aims to close
- You can hide full HTML markup inside a favicon by encoding bytes into RGB pixel values and decoding it back out with JavaScript
- Cloudflare's new Wrangler "--temporary" flag lets AI agents spin up deployments in minutes without manual account sign-up
- Zoom has been shown to bypass browser CORS protections by routing through localhost servers
This newsletter highlights Microsoft’s new MAI-Image-2.5 model and Apple’s upgraded Image Playground, then breaks down Lovable’s self-reported growth metrics. It also links to design essays on embracing human flaws, writing decisions before mockups, and moving from rigid design systems to product context, plus a roundup of tools and case studies.
- Microsoft's MAI-Image-2.5 jumped to No. 2 on Arena's image-editing leaderboard, beating GPT-Image-1.5 and Nano Banana Pro 2K, and now powers edits in PowerPoint and OneDrive
- Apple's upgraded Image Playground (iOS/iPadOS/macOS 27) uses Private Cloud Compute for photorealistic images and embeds hidden SynthID watermarks to flag AI origin
- Lovable self-reports $500M ARR with only 146 employees, 60M+ projects, and 720M monthly visits—all unaudited figures, raising open questions about enterprise support and production scalability
- Design thinking essays argue for embracing AI-made imperfections as a feature, writing decisions in text before building mockups, and replacing static design systems with full product context for AI
This article discusses plugins that enhance Claude's capabilities by bundling various tools and skills for easy installation. Users can submit their own plugins, and it's important to review the contents before installation to avoid potential risks.
- Plugins bundle multiple components (like MCPs and skills) into a single install, e.g. a Figma plugin combining MCP connection with implementation skills.
- Submissions go through only a basic automated review; an "Anthropic Verified" badge means a more thorough quality/safety check, but not all plugins get this.
- Anthropic admits it can't fully vet every plugin, so unknown developers' plugins may carry unverified, potentially harmful third-party software.
- Each directory listing links to the plugin's contents so users can inspect it before installing.