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70 articles tagged AI Engineering.
Lazar Jovanovic, Lovable's first official vibe coding engineer, shares how non-technical founders can leverage AI to ship production-ready products. Key strategies include parallel prototyping, structured documentation, and prioritizing design taste over syntax to maximize AI output quality.
A comparative analysis of Anthropic's Opus 4.6 and OpenAI's GPT 5.3 Codex reveals divergent engineering philosophies. Opus 4.6 prioritizes autonomous multi-agent orchestration and deep context, while GPT 5.3 focuses on interactive, mid-execution steering. This brief outlines tactical configurations, cost implications, and workflow strategies for enterprise adoption.
Linear B CEO Ori Karen predicts that 2026 will be a year of normalization for AI in engineering. While code generation hype persists, true ROI will emerge from optimizing downstream SDLC processes, implementing risk-based code reviews, and shifting metrics from adoption to impact.
Peter Steinberger, creator of PSPDFKit and ClaudeBot, details the shift from traditional coding to agentic engineering. Learn how closing feedback loops, prioritizing architecture over syntax, and leveraging parallel AI agents redefine developer productivity and product strategy.
