←Search results

Search “GitHub”

By relevance · Total 98 results Clear search

Thursday

  1. Artificial AnalysisSelected

    Artificial Analysis tests GitHub Copilot Fusion: $5.59 cost per task…

    In Coding Agent Index v2.0, Artificial Analysis benchmarked GitHub Copilot's Copilot Fusion, which costs $5.59 per task, compared with $11.42 for Claude Code with Opus 5.5 (max), while performing only 2 points lower. Copilot Fusion is a runtime orchestration system that selects and coordinates among Anthropic and OpenAI models such as Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, and GPT-6 Sol. It leads on Terminal-Bench 4.0 with a score of 71, ranks third on FrontierCode with 51 points, and uses 7.2M tokens per task, about half that of Opus 5.5 in Claude Code.

    In Coding Agent Index v2.0, Artificial Analysis benchmarked GitHub Copilot's Copilot Fusion, which costs $5.59 per task, compared with $11.42 for Claude Code with Opus 5.5 (max), while performing only 2 points lower. Copilot Fusion is a runtime orchestration system that selects and coordinates among Anthropic and OpenAI models such as Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, and GPT-6 Sol. It leads on Terminal-Bench 4.0 with a score of 71, ranks third on FrontierCode with 51 points, and

    Matched fieldsTitle、Summary、Body

    #editorial#Product updates#Agents#English text is being prepared.
  2. Ayi AI Notes

    The author built an "EQ plugin" with Claude Opus 5.5 and used UUMit to turn a local service into a team link

    The author used Cursor together with Claude Opus 5.5 to build a zero-dependency local web tool called "EQ plugin," which rewrites emotionally charged drafts according to the four elements of Nonviolent Communication, and includes seven types of communication targets and three tone levels: gentle, firm, and direct. The tool runs on the local machine at 127.0.0.1:8787, and the UUMit client generates a fixed HTTPS link to distribute to colleagues, with no need to buy a server or file for registration, and permissions can be granted and revoked per person. The article also provides an 800-character limit per input, default rate limits of 10 times per minute and 200 times per day, as well as the source code and System Prompt for two GitHub repositories.

    targets and three tone levels: gentle, firm, and direct. The tool runs on the local machine at 127.0.0.1:8787, and the UUMit client generates a fixed HTTPS link to distribute to colleagues, with no need to buy a server or file for registration, and permissions can be granted and revoked per person. The article also provides an 800-character limit per input, default rate limits of 10 times per minute and 200 times per day, as well as the source code and System Prompt for two GitHub repositories.

    Matched fieldsSummary、Body

    #hot-signal#Tutorials / practice#Agents#English text is being prepared.

Tuesday

Thursday

Monday

  1. Browser Use

    Browser Use Tutorial: How to Log In Daily and Download Invoices on Websites Without an API

    Browser Use has published a tutorial introducing three approaches for automatically logging in and downloading invoices daily on supplier portals that lack an API: Playwright scripts, RPA tools such as UiPath or Power Automate, and browser agents with saved configurations. The article provides complete code for Playwright and Browser Use Cloud, covering reusing login sessions, filling in TOTP verification codes with 1Password, scheduling runs via GitHub Actions, and handling failure scenarios such as session expiration, 2FA blocks, page redesigns, and empty downloads. The author recommends first asking suppliers for exports, APIs, or emailed invoices, and reminds readers to first confirm whether the portal's terms permit automated access.

    ith saved configurations. The article provides complete code for Playwright and Browser Use Cloud, covering reusing login sessions, filling in TOTP verification codes with 1Password, scheduling runs via GitHub Actions, and handling failure scenarios such as session expiration, 2FA blocks, page redesigns, and empty downloads. The author recommends first asking suppliers for exports, APIs, or emailed invoices, and reminds readers to first confirm whether the portal's terms permit automated access.

    Matched fieldsSummary、Body

    #company#Tutorials / practice#Agents#English text is being prepared.

Thursday

  1. Huxiu

    Aerial uses an Agent for automated deployment, replacing the default smart TV launcher without root

    Aerial is a tool that can replace the default launcher on Chinese smart TVs without root. It uses a "launcher guard" to overlay the original launcher when it is woken up, and leverages Android notification listening to revive within 0.5 seconds after standby cleanup, so home-screen ads disappear, though boot ads still cannot be blocked. During deployment, connect the TV and computer to the same WiFi, enable ADB and find the TV's IP, then copy the prompt from the Aerial official website and hand it to Agents such as Doubao and WorkBuddy to execute; the user only needs to allow USB debugging in the TV pop-up, and the whole process takes about five minutes. The tool—from code and APK to the official website—was produced entirely through AI Vibe Coding, gained over 200 stars within one day of launching on GitHub, and subsequently added features such as icon hiding and adding signal input sources to the home page, along with adaptation for multiple TV models.

    erial official website and hand it to Agents such as Doubao and WorkBuddy to execute; the user only needs to allow USB debugging in the TV pop-up, and the whole process takes about five minutes. The tool—from code and APK to the official website—was produced entirely through AI Vibe Coding, gained over 200 stars within one day of launching on GitHub, and subsequently added features such as icon hiding and adding signal input sources to the home page, along with adaptation for multiple TV models.

    Matched fieldsSummary、Body

    #hot-signal#Tutorials / practice#Agents#Open-source ecosystem

Tuesday

Thursday

  1. Hugging FaceSelected

    Author trained six models in two days using ML Intern prompts

    Hugging Face blogger yvrjsharma released seven prompts they used with ML Intern and showcased six projects completed within two days, including a citrus disease VLM based on Qwen3.5-2B, a Huggy character LoRA for FLUX.2 klein 4B, a camera viewpoint LoRA and a doodle LoRA for Qwen-Image 2.1, Pocket Rewriter 0.8B/2B distilled models, and a version of Agate Preview 002 distilled from 50 steps to 4 steps. The author recommends stating verified facts in prompts, requiring a pre-training baseline and smoke tests with checks, and setting spending caps, for example limiting the citrus project to 12 dollars. All prompts are available on GitHub at yvrjsharma/ml-intern-prompts, and ML Intern mode can be enabled in HuggingChat.

    4B, a camera viewpoint LoRA and a doodle LoRA for Qwen-Image 2.1, Pocket Rewriter 0.8B/2B distilled models, and a version of Agate Preview 002 distilled from 50 steps to 4 steps. The author recommends stating verified facts in prompts, requiring a pre-training baseline and smoke tests with checks, and setting spending caps, for example limiting the citrus project to 12 dollars. All prompts are available on GitHub at yvrjsharma/ml-intern-prompts, and ML Intern mode can be enabled in HuggingChat.

    Matched fieldsSummary、Body

    #lab#Tutorials / practice#Agents#English text is being prepared.

Friday

Wednesday

Friday

Wednesday

Friday

Monday

Saturday

Tuesday

Tuesday