47m ago · 7 min read · Introduction: Bridging Cloud Power and Local Control In the hyper-accelerated world of AI-assisted engineering, developers face a critical dilemma: intelligence vs. privacy. How do you leverage the el
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7h ago · 4 min read · In the rapidly evolving software landscape of 2026, the "AI agent" has transitioned from a novelty to a necessity. However, as these tools have become more sophisticated, the economic reality of runni
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1d ago · 4 min read · A year ago, this wasn’t even a debate. If you wanted the best performance, you used a closed model. If you cared about flexibility, you experimented with open models. Simple. That line is getting blur
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2d ago · 12 min read · Originally published at Gothar Tech Part of our 2025 software architecture series. Agentic AI in Production: Guardrails, Eval Loops, and the Architecture of Trust Everyone has a demo. Almost nobody has a deployment. The gap between an agentic AI th...
Join discussion2d ago · 5 min read · The wall every framework hit Last year my co-founder Kristiane and I tried to build a production multi-agent system. The use case was boring: a few agents that research, write, review, and publish. Th
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2d ago · 8 min read · Not long ago, a prominent logistics firm integrated an “AI solution” into its customer service, only to discover that 68% of queries still required manual intervention, resulting in $340,000 annual ma
Join discussion3d ago · 3 min read · For the past year, the tech industry has been fixated on the marvels of generative artificial intelligence. We have integrated Large Language Models (LLMs) into almost every facet of our digital lives
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