GitHub Copilot Gets Kimi K2.7 Upgrade as AI Agents Hit Workflow Automation Limits

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GitHub Copilot has made the Kimi K2.7 Code model generally available, aiming to improve code generation quality, context understanding, and developer productivity. The update reflects a broader pattern of iterating on AI foundation models and deploying improvements directly into production developer tools. Separately, a Dev.to analysis highlights a persistent "last mile" problem with AI coding agents, which struggle to handle tasks like signing up for external services, retrieving API keys, or managing environment variables. These interactive, human-centric setup steps require repeated manual intervention, preventing fully autonomous end-to-end application development. Addressing this gap would require AI agent frameworks capable of browser automation, secure credential handling, and external service integration beyond pure code generation.

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How to Create Telegram Animated Stickers from SVG Without After Effects

Telegram animated stickers and custom emoji use a proprietary format called TGS, which can be created directly from SVG files without professional motion-design software. Designers can export vector SVGs from tools like Figma, Illustrator, or Inkscape and convert them using a free client-side tool called SVG to TGS, available at svgtotgs.com. The tool runs entirely in the browser via WebAssembly, meaning no files are uploaded to external servers. Telegram enforces strict sticker requirements — 512×512 pixels, under 64 KB, up to 3 seconds long, and at 60 FPS — which a good converter will enforce automatically. Once converted, the resulting TGS file can be submitted to Telegram's @Stickers bot to add it to a sticker pack or used in the custom emoji workflow.

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ProgrammingDEV Community ·

Swipe Cleaner Processes All Photos On-Device, Avoiding Cloud Upload Risks

Most iOS photo-cleaning apps silently upload users' entire camera rolls to remote servers for processing, raising serious privacy concerns that no policy can fully address. Swipe Cleaner, developed by Opennomos, takes a different approach by running all duplicate detection, blur analysis, and photo grouping entirely on the user's iPhone using Apple's Core ML, Vision, and Metal frameworks. The app makes no network requests related to photo processing, weighs just 4.7MB, and uses optimized, quantized ML models suited for mobile hardware. The developer argues that treating privacy as a core architectural constraint — rather than a toggleable feature — eliminates the risk of accidental data exposure through future updates or policy changes. While this approach rules out certain cloud-dependent capabilities, the team contends that users ultimately want organized photos, not cloud processing, making the trade-off largely irrelevant.

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ProgrammingDEV Community ·

New HTTP QUERY Method Works in Runtimes but Triggers Edge Bot Filters in Production

RFC 10008 formally introduced QUERY as a new HTTP method in June 2025, offering GET-like semantics — safe, idempotent, and cacheable — while allowing query data to be sent in the request body rather than the URL. A developer tested QUERY across multiple production and local environments, including Vercel serverless functions in Python and Node, Supabase Edge, and local FastAPI, finding that all runtimes handled the method correctly. However, Vercel's built-in bot mitigation system began issuing 403 challenge responses specifically for QUERY requests, blocking them at the edge before they ever reached the backend function. The issue was reproduced from a second client, with GET and POST requests completing cleanly while QUERY traffic was flagged as suspicious from the fourth request onward. The findings highlight that while server runtimes and frameworks are increasingly ready for QUERY, edge infrastructure and security layers have yet to recognise it as a legitimate HTTP method.

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ProgrammingDEV Community ·

AI Won't Replace Developers, But Those Who Use It Will Outpace Those Who Don't

Artificial intelligence is reshaping software development, but industry voices argue it augments rather than replaces human developers. AI tools can generate boilerplate code, find bugs, write documentation, and explain concepts, yet they still fall short on business judgment, creative problem-solving, and client communication. Developers who craft precise, context-rich prompts get significantly better results, making clear thinking and strong communication increasingly valuable skills. AI also accelerates learning and prototyping, allowing individuals to go from idea to working product in hours rather than days. Experts warn against blindly copying AI-generated code, urging developers to use these tools as a mentor to deepen understanding rather than as a shortcut that bypasses it.

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