Build on Replit. Deploy to @databricks Replit can now build secure, enterprise-ready apps on Databricks.
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Generative AI Project Structure Overview by Python Developer
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#GenerativeAI Project Structure by @Python_Dv #GenAI #ArtificialIntelligence #MachineLearning #MI
→ View original post on X — @ronald_vanloon, 2026-04-10 19:23 UTC
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WhatsApp CLI Project Needs Developer Support
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Anyone here who wants to help with WhatsApp CLI? It needs love, and I can't focus on it right now.
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OpenClaw Expands Support for Multiple AI Model Providers
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We want OpenClaw work for any model provider.
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Databricks DevConnect 2026: Agentic Workflows and MLflow Deep Dives
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Databricks DevConnect 2026 is underway! Built for developers, DevConnect is a technical meetup focused on the tools and patterns powering production data and AI workloads. Next stops: Austin, Denver, Munich, and London. What to expect:
– Deep dives on agentic workflows, MLflow -
Master Unix, Git, and SSH to boost your AI agent’s leverage
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Bash (tool / philosophy) plays a major role in how useful AI Agents are today
— Ahmad (@TheAhmadOsman) 10 avril 2026
Take a weekend and learn
> unix basics (cd, mv, cp, nano, etc)
> git (branch, merge, revase)
> ssh, ports & firewalls 101
Highest leverage multiplier for agents
> every tool becomes callable
>… https://t.co/ssdQdUxPypBash (tool / philosophy) plays a major role in how useful AI Agents are today Take a weekend and learn > unix basics (cd, mv, cp, nano, etc)
> git (branch, merge, revase) > ssh, ports & firewalls 101 Highest leverage multiplier for agents > every tool becomes callable
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Volunteer to Use AI for Creative Writing Projects
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I volunteer to use it to write something (I promise not to use it for cyber attacks)
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Agent Harnesses and LangSmith: Databricks Integration
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Agent harnesses are spark LangSmith is databricks
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Push to abandon bash and replace with repl
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Is this push to abandon bash and replace with repl? Or other
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Building Better Agents: Traces, Evaluation, and Continuous Improvement
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What does it actually take to make agents better over time? A system that starts with a trace. You capture traces of agent behavior, enrich them with evaluations and human feedback, identify what’s failing and why, make targeted changes, and validate those changes before