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."
SOFTWARE
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Codebase analysis and rewrite planning with Claude Opus 4.7
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Opus 4.7 tight plans enable GPT-5.5 confident execution
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Why this works. Opus 4.7 writes tight, contract-style plans. Exact file counts. Line limits. First-principles architecture. It thinks like a senior engineer scoping a project. GPT-5.5 reads that plan and executes with confidence. It deletes files, rewrites from scratch,
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Opus 4.7 plus GPT-5.5 nearly doubles benchmark scores
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Dan Shipper at Every tested this on their Senior Engineer Benchmark. The scores:
Opus 4.7 alone: low 30s GPT-5.5 alone: low-to-mid 40s Opus 4.7 planning + GPT-5.5 executing: 62.5 For reference, human senior engineers score 80-90. The combo nearly doubled either model's -
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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Lakebase Customer-Managed Keys Gives Enterprises Full Encryption Control
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Encryption at rest is a baseline. Enterprises operating in highly regulated environments must control the root of trust. Lakebase Customer-Managed Keys offers comprehensive management and control across the entire architecture. And unlike traditional databases, Lakebase CMK
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GitHub Repository Featuring Open Source Code and WordPress Categories
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GitHub Repo with Opensource code:
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New Open-Source Multimodal Agentic RAG with Gemini Embedding 2
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I just built a Multimodal Agentic RAG using Gemini Embedding 2 and Google ADK.
— Shubham Saboo (@Saboo_Shubham_) 4 mai 2026
Any input. Cited answers. Every source visualized in a live 3D embedding space.
100% Opensource. pic.twitter.com/EbPSvPxmLlI just built a Multimodal Agentic RAG using Gemini Embedding 2 and Google ADK. Any input. Cited answers. Every source visualized in a live 3D embedding space. 100% Opensource.
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Automate Market Research With Low-Cost Startup Radar Tool
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— Charly Wargnier (@DataChaz) 4 mai 2026
You can also automate your market research without the massive LLM costs by building a Startup Radar.
→ Monitor competitor URLs
→ Strip out the industry noise
→ Return perfectly structured markdown 👇 pic.twitter.com/PLLaP4nE9D4/ You can also automate your market research without the massive LLM costs by building a Startup Radar. → Monitor competitor URLs
→ Strip out the industry noise
→ Return perfectly structured markdown -
PrepToMe Meeting Claude Code Build for Pre-Call Briefings
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— Charly Wargnier (@DataChaz) 4 mai 2026
For high-speed context gathering right before a call, check out this PrepToMe Meeting Claude Code build.
→ It searches the web instantly
→ Fetches pure signal, zero noise
→ Synthesizes the perfect briefing doc! 👇 pic.twitter.com/HEOk5e16CS3/ For high-speed context gathering right before a call, check out this PrepToMe Meeting Claude Code build. → It searches the web instantly
→ Fetches pure signal, zero noise
→ Synthesizes the perfect briefing doc!