The tweet tells engineers to forward their toughest technical challenges to Fable, implying the platform can tackle complex problems. It pitches Fable as a go-to resource for difficult engineering questions.

ND Studio is looking for hardcore engineers and designers to tackle the most broken user experiences on Earth. Interested candidates can apply directly at ndstudio.gov.

The author argues that engineers should target around 80% utilization—avoiding nonstop ticket grinding—to keep bandwidth for time-sensitive, high-impact tasks like unblocking deals or incident mitigation. By deliberately doing “nothing” during low-pressure periods and pushing back on non-prioritized work, you stay alert for the right opportunities and reduce stress-driven mistakes.

The team built a system that quantifies how much engineering work Devin delivers vs. what you pay, then backs that claim with up to $10 million per customer. They validated the methodology with independent data and benchmarks to prove Devin consistently delivers more output than its cost.

The article breaks down each stage of creating a Formula 1 track, from initial site surveys and earthworks to laying multiple asphalt layers and installing safety barriers. It covers design tweaks, drainage systems, and final homologation steps to meet FIA standards.

A former Azure engineer details how Microsoft's mismanagement and unrealistic plans jeopardized its relationship with OpenAI and the US government. The article outlines the internal chaos and lack of clarity that led to significant operational failures.

This article covers highlights from a podcast conversation about recent advancements in AI models, particularly Google's new vision-capable LLMs. It discusses technical features like parameter efficiency and multi-modal capabilities, as well as ongoing challenges in running local models effectively.

The article breaks down the recently leaked source code of Anthropic's Claude Code CLI. It highlights the system's architecture, design choices, and differences from OpenAI's Codex, particularly in handling context overflow and user interactions. Key features like compaction strategies and internal versus external user instructions are explored.

This article discusses the impact of coding agents on the roles within Engineering, Product, and Design (EPD) teams. With coding becoming easier, the focus has shifted from creating detailed product requirement documents to rapid prototyping and review, emphasizing the need for generalists and strong system thinking. It highlights the evolving nature of roles where builders and reviewers emerge as distinct categories.

This article discusses the need for new workflows in product development as traditional methods like Agile and PRDs become obsolete. It highlights the shift in how teams work, emphasizing the importance of tools that adapt to modern, nonlinear processes. The author argues for a new structure that aligns with current realities rather than outdated practices.

The article explores the definition of an engineer and what engineering truly entails, especially in the context of advancing AI technology. It emphasizes that engineering is about taking the right actions in the right sequence to achieve various intentions, highlighting the importance of clarity in project goals and the art of sequencing tasks.

Engineers face difficulties in transitioning from deterministic programming to probabilistic agent engineering, as they often struggle to trust the adaptive capabilities of AI agents. Traditional practices, such as strict typing and error handling, clash with the need for flexibility and context-aware interactions in agent systems. Emphasizing the importance of semantic understanding and behavior evaluation, engineers are encouraged to embrace a new approach that balances trust and oversight.