LLM Applications, Chains, Prompt Engineering, AI Orchestration

Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
venturebeat.com·3h
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Right-sized AI: Good for business, users, and the planet
web.dev·7h·
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DevMind - AI-Powered Developer Second Brain
dev.to·20h·
Discuss: DEV
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QueST: Incentivizing LLMs to Generate Difficult Problems
dev.to·19h·
Discuss: DEV
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The Implication of Malloy in Analytics
fromanengineersight.substack.com·4h·
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Understanding Claude Code's Full Stack: MCP, Skills, Subagents, and Hooks Explained | alexop.dev
alexop.dev·1d·
Discuss: r/ClaudeAI
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·1d·
Discuss: DEV
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·2d·
Discuss: DEV
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Gonka.ai – Decentralized Infrastructure for AI
github.com·11h·
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Let LLMs control your UI
tambo.co·2d·
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Implementing E Unification using SMT
philipzucker.com·1d
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AI Wealth Managers and Smart Contracts = Dead People Controlling Money Forever
lightcapai.medium.com·9h·
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How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
venturebeat.com·9h·
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My go-to prompt for legacy code exploration
leftofthe.dev·15h·
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Getting the Model Right
dev.to·2h·
Discuss: DEV
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Show HN: Charl – ML language with native tensors and autograd
charlbase.org·10h·
Discuss: Hacker News
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**Practical Tip: Fine-Tuning LLMs for Improved Generalizabil
dev.to·2d·
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Sloppy : Chrome Extension for AI Slop Detection with Agentic Postgres
github.com·19h·
Discuss: DEV
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What if your app's logic was written in... plain English? A crazy experiment with on-device LLMs!
dev.to·1d·
Discuss: DEV
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