This works beyond coding. Content strategy: use Opus to outline the argument structure. Use GPT-5.5 to draft. Research: use Opus to design the research methodology. Use GPT-5.5 to execute the analysis. Business planning: use Opus to define the framework. Use GPT-5.5 to
TOOLS
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Codebase analysis and rewrite planning with Claude Opus 4.7
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The exact workflow: Step 1: Open Claude. Select Opus 4.7. Prompt:
"Analyze this codebase. Write a detailed rewrite plan from first principles. Include exact file structure, line limits per file, and architectural decisions. Do not write any code. Plan only." -
DeepAgents CLI Coding Harness Shines With Open Weight Models
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open weight models are having a moment @masondrxy is making deepagents cli a coding harness that works amazing with open weight models what is missing? what should he add? try it out!
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AI coding workflow pits Opus 4.7 planner against GPT-5.5 executor
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I tested the highest-performing AI coding workflow of 2026. It doesn't use one model. It uses two competing models against each other. Opus 4.7 plans. GPT-5.5 executes. The results aren't close. (Prompts included)
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Runway Characters Enables Real-Time Conversational Video Agents at 24fps
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Real-time video agents are here.
— Runway (@runwayml) 4 mai 2026
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. pic.twitter.com/CJqv3Kdl0vReal-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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Runway Introduces Character Building Feature for AI Video
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Learn more about building Runway Characters: https://
runwayml.com/news/building-
runway-characters
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AI Agents Are Multi-Layered Systems Powered by Orchestration
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AI Agents ≠ one LLM They’re multi-layered systems: • General LLMs → reasoning
• Domain LLMs → expertise
• RAG → real-time data
• Tools → execution Real power = orchestration From answers → to actions. Via Giuliano Liguori (
@ingliguori
) #AI #LLM #AIAgents -
Post by @petergostev with GitHub links and data viewer
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GitHub: https://github.com/petergpt/bullshit-benchmark
… Data viewer: https://petergpt.github.io/bullshit-benchmark/viewer/index.v2.html
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Codex Praised for Usefulness Beyond Coding Tasks
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Yeah Codex is really good. Even for non-coding tasks.
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GitHub Repository Featuring Open Source Code and WordPress Categories
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GitHub Repo with Opensource code: