Debugging with AI: My Simple Strategy
1). Ask for hypotheses, not just fixes
Instead of “Fix this,” I ask, “What could be causing this, and how would you solve it?” This reveals the model’s reasoning and avoids unnecessary code.
2). Focus on the why
“What’s causing this error?” gives clearer, more helpful answers than “What’s the fix?”
3). Always include logs
Full tracebacks, errors, or test outputs give the model real data to work with.
4). Say what you’ve already tried
Helps the model avoid dead ends and repeat suggestions.
5). Iterate with better context
Update the prompt with each step. If stuck, switch models but keep the full context — one might catch what the other missed.
1). Ask for hypotheses, not just fixes
Instead of “Fix this,” I ask, “What could be causing this, and how would you solve it?” This reveals the model’s reasoning and avoids unnecessary code.
2). Focus on the why
“What’s causing this error?” gives clearer, more helpful answers than “What’s the fix?”
3). Always include logs
Full tracebacks, errors, or test outputs give the model real data to work with.
4). Say what you’ve already tried
Helps the model avoid dead ends and repeat suggestions.
5). Iterate with better context
Update the prompt with each step. If stuck, switch models but keep the full context — one might catch what the other missed.
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The Core: In this tutorial, you will learn how to use Google's Gemini CLI to analyze your images and generate SEO-friendly filenames automatically, improving your content organization and search engine visibility.
Step-by-step:
Install Gemini CLI: npm install -g @google/gemini-cli and authenticate with your Google account
Test a single image analysis typing: gemini "Describe what's in [image1.png]"
Batch process: gemini “Process all images in this folder. For each image, analyze the content and rename it with a denoscriptive filename with relevant keywords for SEO purposes.”
Pro tip: Start with a small batch to understand how Gemini interprets your content, then scale up to your entire image library.
Step-by-step:
Install Gemini CLI: npm install -g @google/gemini-cli and authenticate with your Google account
Test a single image analysis typing: gemini "Describe what's in [image1.png]"
Batch process: gemini “Process all images in this folder. For each image, analyze the content and rename it with a denoscriptive filename with relevant keywords for SEO purposes.”
Pro tip: Start with a small batch to understand how Gemini interprets your content, then scale up to your entire image library.
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The Core:
Details:
Why it matters: This curbs the flood of junk videos, protecting the platform's value and real creativity.
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The Core: Google has updated its MedGemma suite with two new open-source medical AI models: a 27 billion parameter multimodal model that handles medical images and patient records, and MedSigLIP for analyzing images and text together.
Details:
Why it matters: This advance brings high-quality AI medical analysis to portable devices, lowering barriers for global healthcare innovation. It helps underserved patients and small clinics access advanced diagnostic tools easily.
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Amazon secured AI licensing deals with publishers Conde Nast and Hearst, enabling use of the content in the tech giant’s Rufus AI shopping assistant.
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The Core: In this tutorial, you will learn how to use Context7 MCP Server to eliminate AI hallucinations by delivering real-time API documentation and code examples directly to your coding tools like Windsurf and Cursor.
Step-by-step:
Start prompting with “use context7 for up-to-date API info” to get current documentation from 25,000+ libraries
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Grok4 checks elon musk opinion before answering anything
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xAI's Grok AI assistant is landing on Tesla cars, with built-in integration in new models and software updates for older ones
The AI helper was recently updated with Grok 4, xAI's SOTA reasoning model, taking on OpenAI's o3 and Claude Opus 4
The AI helper was recently updated with Grok 4, xAI's SOTA reasoning model, taking on OpenAI's o3 and Claude Opus 4
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Meta has reportedly acquired voice AI startup PlayAI
The entire team of the company will now join the tech giant, working in its new Superintelligence Lab
They will be reporting to Johan Schalkwyk, who recently joined from Sesame AI
The entire team of the company will now join the tech giant, working in its new Superintelligence Lab
They will be reporting to Johan Schalkwyk, who recently joined from Sesame AI
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Core Ai News
Moonshot AI released Kimi-K2, a 1T param open-source MoE model that: —Surpasses frontier AI like GPT-4.1 and Claude Opus 4 on coding, with new highs on math and STEM —Excels at agentic workflows with tool use —Doesn't have multimodality or reasoning yet
Kimi K2 is insane.
10 wild examples.
In comments
👇 👇 👇 👇
10 wild examples.
In comments
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1. AI in the Enterprise by OpenAI
Download here
2. A practical guide to building agents by OpenAI
Download here
3. Prompting Guide 101 by Google
Download here
4. Identifying and scaling AI use cases.
Download here
Download here
2. A practical guide to building agents by OpenAI
Download here
3. Prompting Guide 101 by Google
Download here
4. Identifying and scaling AI use cases.
Download here
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5. Building Effective Agents by Anthropic
Download
6. Prompt Engineering by Anthropic
Here
7. Agents Companion
Download here
8. Google: 601 real-world gen AI use cases from the world's leading organizations
Read here
9. Prompt engineering by Google
Read here
Download
6. Prompt Engineering by Anthropic
Here
7. Agents Companion
Download here
8. Google: 601 real-world gen AI use cases from the world's leading organizations
Read here
9. Prompt engineering by Google
Read here
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