AI Software Factories and Context Engineering
Dex Horthy explores context engineering, loop automation, and the risks of lights-off software factories. Learn how to balance AI velocity with human architectural oversight.
Tag
Context Engineering
10 articles tagged Context Engineering.
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· The Pragmatic Engineer Podcast · 3 min read -
· Stories Connecting Dots with Markus Andrezak · 6 min read AI-Driven Product Strategy and Operational Scaling
An executive analysis of scaling service models, formalizing product discovery with synthetic AI research, and shifting from subjective judgment to traceable context engineering. Explores market volatility resilience, backend logistics optimization, and the strategic evolution of product leadership.
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· The InfoQ Podcast · 7 min read Strategic AI Coding Agent Adoption Frameworks
Engineering leaders must transition from manual AI supervision to automated harness engineering and risk-based oversight. This analysis outlines context optimization, interface shifts, and strategic deployment frameworks for autonomous coding systems.
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· Software Architektur im Stream · 4 min read Agentic Coding Best Practices for Software Engineering
Explore strategic frameworks for integrating AI coding agents into software development. Learn how context engineering, harness optimization, and spec-driven workflows drive productivity, reduce legacy modernization costs, and redefine engineering roles.
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· Dev Interrupted · 6 min read Strategic AI Agent Deployment and Workflow Optimization
An executive analysis of emerging AI agent deployment strategies, highlighting the shift from general-purpose assistants to constrained, high-ROI automation. Covers infrastructure economics, durable data primitives, and leadership context engineering for enterprise scalability.
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· The InfoQ Podcast · 5 min read Context Engineering and AI Agents Reshape Software Architecture
Baruch discusses the shift from prompt engineering to context engineering, the evolving role of architects as orchestrators, and the strategic implementation of AI agents in software development. Learn how context artifacts, intent integrity, and microservices drive reliable AI adoption.
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· Dev Interrupted · 4 min read AI Agents, Vibe Coding, and the Enterprise Last Mile Gap
AI coding agents are converging with agentic engineering, enabling reliable production workflows and build-first development. However, enterprises face a critical last mile gap where upstream productivity gains are lost to downstream chaos. Leaders must prioritize context engineering, invest five times more in people and processes than technology, and evolve hiring to assess AI fluency over rote coding skills.
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· Tech Lead Journal · 4 min read Spec-Driven AI Development and the BMAD Method
An analysis of the BMAD Method, a framework that transitions software engineering from manual coding to agentic orchestration. The discussion focuses on spec engineering, context management, and the evolving identity of the modern developer.
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· The InfoQ Podcast · 4 min read The Evolution from Prompt Engineering to Agentic AI Context
An analysis of the shift from basic prompt engineering to sophisticated context engineering. The discussion explores stateful agentic workflows, the implementation of AI skills repositories, and the role of event-driven architecture in scaling AI systems.
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· Dev Interrupted · 4 min read 2026 Engineering Benchmark: AI Adoption vs. Impact Gap
Linear B's 2026 report reveals AI adoption is universal but impact lags, with AI PRs merging at half the rate of human code due to review bottlenecks, larger PR sizes, and technical debt accumulation.
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