#Engineering
23 articles with this tag
Ref CEO on AI Velocity: "Output Without Impact"
Ref CEO Matt Dailey discusses "velocity sickness" and how teams can shift from rapid code output to impactful idea generation with AI.
Turbopuffer CEO on AI, Databases, and Startup Growth
Turbopuffer CEO Simon Eskildsen discusses his journey from early web development to founding an AI infrastructure company, touching on engineering challenges and the impact of AI on hardware demand.
Whatnot CPO: "We regret that product management exists"
Whatnot CPO Tom Verilli questions the necessity of traditional product management, arguing it can hinder engineers and designers, and highlights the growing role of AI in empowering ICs.
AI's Physical Future: Beyond the Model
The real AI moat lies not in smarter models, but in intelligent engineering systems that can rapidly deploy and iterate on them.
Netflix CPTO on AI's Impact on Tech Roles
Netflix CPTO Elizabeth Stone discusses the impact of AI on tech roles, emphasizing the continued importance of specialized skills and the rise of systems thinking.
OpenAI's Codex in ChatGPT: AI for Engineering Teams
OpenAI showcases Codex in ChatGPT, demonstrating how AI can automate complex engineering tasks from bug fixing to generating review-ready code, while engineers maintain control.
Uber's GitFarm Solves Monorepo Woes
Uber's GitFarm platform revolutionizes monorepo management by offering Git-as-a-Service, slashing clone times and resource usage.
Automattic's Sanja Grbic on "Radical Speed Month"
Automattic Product Designer Sanja Grbic shares insights from the company's "Radical Speed Month," where AI tools accelerated team-led product development.
Engineering's AI Overhaul
Accenture's latest report outlines a five-step plan for AI engineering reinvention, emphasizing a cloud-based digital core to drive speed, efficiency, and growth.
Uber Modernizes Artifact Storage
Uber modernized its artifact storage by migrating to a SaaS platform and implementing a validation proxy to cut egress costs and boost reliability.
Uber's Knapsack Problem
Uber's Tarot platform employs a sophisticated Multiple Knapsack Problem solver to optimize incentive allocation, balancing user experience with strict budget constraints.
Go Stack Allocation Boosts Uber CPU Efficiency
Uber engineers optimized Go stack allocation, cutting CPU usage by up to 10% in critical services through static pre-allocation and disabling dynamic growth.
Uber's Smart Database Overload Fix
Uber evolved its database overload protection from static rate-limiting to an intelligent, priority-aware system called Cinnamon, enhancing stability and user experience.
LinkedIn's AI Search Upgrade
LinkedIn is leveraging LLMs for semantic search, transforming how users find jobs and people by understanding intent over keywords.
From Violin to Code: LinkedIn's REACH Program
A former professional violinist transitions to data science via LinkedIn's REACH program, showcasing career shifts in the tech industry.
GitHub Issues Speed Boost
GitHub Issues gets a speed overhaul, leveraging client-side caching and prefetching to deliver near-instant navigation.
OpenAI's Windows Sandbox Solution
OpenAI details its custom-built sandbox for Codex on Windows, overcoming limitations of native tools with an 'elevated' approach for enhanced security.
Cloudflare's AI Engineering Stack Revealed
Cloudflare details its internally built AI engineering stack, powered by its own products and widely adopted across R&D.
GitHub's Diff Performance Overhaul
GitHub overhauls its pull request interface, dramatically boosting performance for large code changes through targeted optimizations and simplified architecture.
Robots Are Ready. Why Aren't They Working?
Robots are advancing rapidly, but deployment lags. The field needs more operators and integration specialists, not just roboticists, to bridge the gap.
NVIDIA CEO: Virtual Twins Are the Future
NVIDIA and Dassault Systèmes forge a major alliance to infuse virtual twins with physics-based AI, aiming to revolutionize design and manufacturing.
Leo AI Raises $9.7M for Large Mechanical Model
Cambridge-based Leo AI closed a $9.7 million seed round to expand its specialized AI platform for mechanical engineering.
Leo AI Raises $9.7M for Large Mechanical Model
Cambridge-based Leo AI closed a $9.7 million seed round to expand its specialized AI platform for mechanical engineering.