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dev.to > bruceyao > google-launches-nano-banana-2-ai-image-model-521h

Google Launches Nano Banana 2 AI Image Model

1+ min ago  (106+ words) Google released Nano Banana 2, a significantly improved AI image generation and editing model with enhanced detail, speed, and accuracy, now integrated into Gemini, Google Search AI Mode, and Flow creative tools. Google released Nano Banana 2, a significantly improved AI image…...

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dev.to > juandastic > scaling-ai-memory-how-i-tamed-a-120k-token-prompt-with-deterministic-graphrag-4f85

Scaling AI Memory: How I Tamed a 120k-Token Prompt with Deterministic GraphRAG

10+ min ago  (1082+ words) In a past article, I wrote about Synapse, an AI companion I built for my wife. To solve the problem of an LLM forgetting her past, I bypassed standard vector RAG entirely. Instead, I used a Knowledge Graph (via Graphiti…...

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dev.to > minchenlee > i-built-a-macos-menu-bar-app-to-monitor-all-my-claude-code-sessions-heres-how-it-works-1kb7

I built a macOS menu bar app to monitor all my Claude Code sessions — here's how it works

19+ min ago  (499+ words) I was running 10+ Claude Code sessions across Zed and Ghostty " one terminal tab per session " and kept switching between them to check which one was waiting for permission and which was done. It got old fast. I looked at existing…...

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dev.to > klement_gunndu > 5-ways-to-cut-your-ai-agents-api-bill-by-80-aee

5 Ways to Cut Your AI Agent's API Bill by 80%

30+ min ago  (83+ words) Your AI agent is burning money on every API call. These 5 patterns " model routing, prompt caching, batch processing, context pruning, and response streaming " cut costs without cutting quality. Tagged with ai, python, tutorial, productivity. Liquid syntax error: Unknown tag 'endraw…...

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dev.to > dwelvin_morgan_38be4ff3ba > building-an-mcp-native-prompt-tool-4l49

Building An MCP Native Prompt Tool

37+ min ago  (987+ words) We built the integration of the mcp-prompt-optimizer into our existing workflows by leveraging its compatibility with Claude Desktop and Cline's API. The core challenge was ensuring seamless compatibility with legacy systems while maintaining performance, which required careful testing across different…...

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dev.to > ntctech > vendor-lock-in-happens-through-networking-not-apis-4o9h

Vendor Lock-In Happens Through Networking — Not APIs

47+ min ago  (731+ words) For the past fifteen years, we obsessed over the wrong kind of lock-in. Everyone worried: "If I use DynamoDB or Azure Functions, am I trapping my code forever?" So, we poured billions of hours and dollars into building abstraction layers,…...

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dev.to > devhashfortheweb > i-invested-in-stocks-turns-out-they-were-jpegs-4c3f

I invested in stocks… turns out they were JPEGs.

48+ min ago  (646+ words) My usual workflow looked something like this: So I thought: LLMs are already good at writing prompts. Why not teach them how to write prompts that generate great, consistent images? After all, generating text is what they do best. I…...

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dev.to > harsh2644 > i-built-an-ai-pet-photographer-to-help-shelter-animals-get-adopted-inspired-by-googles-campaign-5ci4

I Built an AI Pet Photographer to Help Shelter Animals Get Adopted (Inspired by Google's Campaign)

52+ min ago  (294+ words) DEV Weekend Challenge: Community This is a submission for the DEV Weekend Challenge: Community Last month, I visited a local animal shelter in my city. What I saw there broke my heart. Cages filled with innocent eyes. Dogs wagging their…...

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dev.to > aibuddy_il > how-we-built-a-multi-industry-whatsapp-ai-agent-in-israel-4mfj

How We Built a Multi-Industry WhatsApp AI Agent in Israel

53+ min ago  (328+ words) At AI Buddy, we've deployed AI agents for 200+ Israeli businesses " real estate agencies, dental clinics, law firms, gyms, and beauty salons. This is the technical story of how we built a WhatsApp AI agent that works across all of them....

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dev.to > incomplete_developer > agent-skills-automatically-scaffold-a-net-solution-structure-1570

Agent Skills: Automatically Scaffold a .NET Solution Structure

1+ hour ago  (255+ words) Starting a new .NET project often involves the same repetitive steps: Even when you're fast, this can take 1015 minutes every time. But what if you could teach AI to do this setup for you automatically? That's where Agent Skills come…...

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