github.com/FlowiseAI/Flowise… [Translated from EN to English]
→ View original post on X — @flowiseai, 2025-12-05 15:39 UTC
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Flowise 3.0.12 Release: Gemini 3, Code Interpreter, Structured Output
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3.0.12 is out!
— FlowiseAI (@FlowiseAI) 5 décembre 2025
🍌 Nano Banana Pro
Use Gemini 3 with Nano Banana Pro – with support of multi turn conversation
🖥️ Gemini Code Interpreter
Use built in Gemini Code Interpreter and enables the model to generate and run Python code
📜 Agent Structured Output
Agent node can now… pic.twitter.com/97HLu1CDTa3.0.12 is out! 🍌 Nano Banana Pro Use Gemini 3 with Nano Banana Pro – with support of multi turn conversation 🖥️ Gemini Code Interpreter Use built in Gemini Code Interpreter and enables the model to generate and run Python code 📜 Agent Structured Output Agent node can now support returning structured JSON output More bugfix and details in release note 👇
→ View original post on X — @flowiseai, 2025-12-05 15:38 UTC
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Technique 8: Constraint-Based Prompting
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Technique 8: Constraint-First Prompting Google Brain researchers begin by defining constraints before addressing the actual task. Template: HARD CONSTRAINTS (cannot be violated):
– [constraint 1]
– [constraint 2]
– [constraint 3] SOFT PREFERENCES (optimize for these):
– [preference 1]
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Iterative Refinement Technique
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Technique 7: Iterative Refinement Loop
— God of Prompt (@godofprompt) 5 décembre 2025
OpenAI's research team chains prompts to refine outputs through multiple passes.
Template:
[ITERATION 1]
Create a [draft/outline/initial version] of [task]
[ITERATION 2]
Review the above output. Identify 3 weaknesses or gaps.
[ITERATION… pic.twitter.com/XoT3dKsvZG— Technique 7: Iterative Refinement Loop OpenAI's research team chains prompts to refine outputs through multiple passes. Template: [ITERATION 1]
Create a [draft/outline/initial version] of [task] [ITERATION 2]
Review the above output. Identify 3 weaknesses or gaps. [ITERATION …] -
Claude Code Camp Opus 4.5 Live Event 1000 Paid Subscribers
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we have 1k @every paid subs RSVP’d to our live Claude Code Camp on Opus 4.5 today hear how @kieranklaassen and I are using it in detail, and ask questions live join ->
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WorkOS Stack: Build Something Amazing This Weekend
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Huge thanks to our buds at @WorkOS for supporting the optimism. If you're building something this weekend, start building with the WorkOS Stack. https://
workos.com/?utm_source=no
tboring&utm_medium=newsletter&utm_campaign=q42025
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Using AI Codex to document codebase architecture and data flows
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Not really but my go-to is to ask codex to create a markdown file with all the primitives, code blocks, data flow and mermaid graphs for the codebase/ parts of it. Iterate a bit to got all the info I need For mermaid graphs I’d usually refine them a bit in my own scratchpad:
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Fine-tuning and Serving LLMs: Essential Tools and Frameworks
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Here’s my list: 1. Transformers + TRL – for fine-tuning/ RL on smol LLMs
2. vLLM/ MLX/ llama.cpp for serving them locally – fun for local projects
3. Take it one step further with transformers.js w/ WebGPU backend
4. For remote LLMs w/ agents – OpenAI Agents SDK is pretty dope -
Interactive Visualization Prompt for Earth-Venus Orbital Symmetry
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Give this prompt a try "Create an interactive visualization for the following: The 5-fold symmetry traced by Earth and Venus as they orbit the Sun." https://t.co/vyGXkjVxnO
— Thang Luong (@lmthang) 4 décembre 2025Give this prompt a try "Create an interactive visualization for the following: The 5-fold symmetry traced by Earth and Venus as they orbit the Sun."
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Integrating AI coding assistants into team meetings
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Will Codex join our retrospective meeting too and complain about unclear requirements?