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All digests tagged Build Engineering
AI agents have an imperative to complete tasks, often violating constraints and security policies. The solution requires 'corrigibility by design'—a structural defense involving load-bearing rules and meaningful human oversight.
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AI agents are evolving beyond simple triage to become sophisticated SRE tools that learn operational memory. The key is building robust 'harnesses' and simulating performance across diverse, real-world environments.
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AI News & Strategy Daily | Nate B Jones
Comparing Codex vs. Fable: Which AI agent can pick the best problem to automate? Learn how advanced skills are needed for strategic discovery, not just execution.
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Odevo shares its AI-native transformation journey, detailing how adopting agentic coding requires fundamental process changes—not just licenses—to achieve massive gains in software delivery speed.
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Omnigent introduces the concept of a 'meta-harness' layer, allowing developers to compose AI agents by abstracting away model changes. The discussion covers agent debate, tokenomics as DevOps, and the critical need for stateful memory.
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Build Small revealed amazing hackathon winners, showcasing how small models (SLMs) can power massive utility. Learn about local-first AI, 64% offline capability, and advanced techniques like GGUF quantization.
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Discover advanced .NET testing techniques—from Property-Based Testing to Mutation Scoring—to write fewer, but far more effective tests and build true confidence in your code.
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This deep dive explores building an agentic retrieval harness that moves beyond simple RAG. It details combining hybrid search, local file system access (GP), and multimodal parsing to handle complex enterprise data.
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