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All digests tagged Build Automation
To safely adopt AI agents, focus on verification first. Use detailed plans starting with a 'Why,' encode successful patterns into deterministic flows, and make communication attention-aware by marking human vs. AI text.
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Skills are transforming software development from revolving around code to intent. Experts argue that managing skill sprawl requires treating skills as code, focusing on context engineering over model size.
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This guide walks through scaffolding and deploying Managed Deep Agents using the MDA CLI. Key steps include defining instructions in `instructions.mmd`, local testing with `MDA dev`, and syncing context to the Context Hub before final deployment.
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To scale your software factory, move it into agent sandboxes. This provides isolation, scale, and autonomy by implementing a three-tier orchestration system.
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Discover how always-on AI agents eliminate the 'on-call tax' by monitoring complex, non-alerted changes in production. Learn to automate operational tasks beyond traditional CI/CD.
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Watch an AI coding agent autonomously call a developer to resolve a critical checkout API bug. Learn how Voice AI and Claude Code CLI manage complex technical trade-offs (Option A vs B) in real time.
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The key to advanced agentic engineering is realizing that agents plus code beats agents alone. The Super Simple Software Factory automates the full SDLC using deterministic checks and three principles: Observable, Customizable, and Reusable.
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The industry is shifting focus from training bigger models to optimizing cost and speed. Key techniques include the 'sidekick' agent architecture, which uses parallel processing of multiple LLMs for better price performance.
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Anthropic may not be stealing your data, but their use of anonymized aggregate usage data creates a 'market map,' allowing them to compete directly with their customers. Learn how to achieve AI sovereignty.
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Moving beyond simple output checks, effective AI agent evaluation requires measuring trajectory and skill activation. Learn how structured context improves code quality metrics like PR throughput and adherence to unique business IP.
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LangSmith Sandboxes provide a secure, isolated computer for agents. Using hardware virtualized microVMs and an O proxy, they enable running untrusted model-generated code at scale while maintaining strict security controls.
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Responsible project development requires automating all quality gates—from static analysis (Clang-Tidy) to advanced testing like fuzzing and mutation testing. Aim for 'completed,' not 'abandoned.'
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Learn how to build functional web apps using AI by mastering prompt engineering. We break down the five building blocks: Goal, Input, Layout, Features, and Output.
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