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Engineering Leadership - Page 10
AI decisions through the lens of teams and execution. Curated tldw.news briefings about engineering leadership, with practical engineering takeaways from long-form AI and developer-tool videos.
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AI EngineerAI agents for production ops: context beats execution
AI coding agents are creating more production issues. Background agents that run on schedules and triggers can handle operational toil, but only if they have…
AI EngineerGitHub Next: AI automations need guardrails, not just prompts—and multiplayer coding is
Idan Gazit presents two GitHub Next prototypes: Agentic Workflows with deterministic security guardrails and Ace, a real-time multiplayer coding environment…
AI EngineerWhy Refactoring Now Beats Waiting for Better AI Agents
Should you refactor your legacy codebase now or wait for AI to improve? One team's experience shows the tradeoffs and why acting now still wins.
Y CombinatorRobotics Scaling Walls: Four Hard Problems Teams Still Face
Robotics is not solved: sim-to-real gaps, sensory-motor limitations, and embodiment drift remain. New approaches in memory and reasoning show progress, but…
Y CombinatorDeep Tech Fails From Boring Operations, Not Broken Tech
Deep tech startups fail not because the tech doesn't work, but because they can't organize operations. Hodak explains why infrastructure is the hidden…
Hugging FaceAI agents falsified 49 papers at ICML: research validation is now an
1,200 participants used AI agents to reproduce 34% of ICML 2026 papers in 19 days. 49 papers were fully falsified. The operational lesson: agent-assisted…
Cole MedinStop Your AI Agent From Using Stale Data: State vs. Events
AI second brains rot from stale data. The solution: split information into state (replace old) and event (append). A practical governance framework for agent…
InfoQAI Adoption: Maturity Matters More Than Speed for Engineering Teams
AI demands maturity, not speed. Teams must balance productivity with human collaboration, accountability, and ethical considerations.
David OndrejWhy Your Coding Agents Need Program Design, Not Just Prompts
AI agents excel at writing code but fail at maintainability. Dexter reveals why program design is the missing step, and how teams that skip it face costly…
AI EngineerOpen models beat frontier models when you customize them. Here's how.
Open models now match frontier performance when customized for your use case. The panel explains how to build a data flywheel and why closed APIs hide real…
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