Three months of running my work through an AI agent taught me four things : inboxes beat task lists, routing is essential, self-healing works but is brittle, and even automated systems need a quarterback.
Should a calendar agent run for your entire five-year company tenure or reset every day? Why perpetual sessions fail & how to design agent lifespans.
As engineering teams shrink and AI agents multiply, key-person risk becomes existential. The ratio you choose determines your team's shape and its fragility.
Practical lessons from a year building AI agent systems : prototype with frontier models, fine-tune for stable tasks, use static typing, & run competing agents as critics.
My AI inference costs hit $100k annualized. Then I cut them 88% in a weekend. Technology companies are adding a fourth component to engineering compensation.
AI agents are revolutionizing productivity by transforming traditional to-do lists into 'done lists' of completed work awaiting approval. Learn how the disappearing middle of work changes everything about planning & productivity.
OpenAI's Codex went from intern to senior engineer in 12 months. At 92% adoption & 72% more pull requests, the architect-implementer workflow proves AI has graduated beyond junior-level work.
Discover how Web3 open-source projects like Arbitrum ($20B) are revolutionizing community licensing, governance, and value creation in tech startups.
Analyze key trends in open source AI models: 92% use Apache/MIT licenses, with Meta capturing 30% of downloads. Data-driven insights from HuggingFace's top 300 models.
Discover how LinkedIn measures engineering productivity with 3 key speed metrics. Data-driven insights for startup leaders to optimize developer performance.