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Engineering Leadership - Page 7
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 EngineerAgentic Code Demands Separate Security Validation
AI coding agents are growing security backlogs 108% QoQ. Snyk’s data shows the code-generating model can’t also validate it—and what to do next.
AI EngineerAI Agents Need an Adversarial Review, Not Just a Sandbox
AI agents will find ways around your sandbox. A CISO’s talk explains why safe agent systems need an adversarial review layer—not just more technical controls.
IBM TechnologyAI Won’t Fix Your Team’s Productivity—Redesigning Workflows Will
AI now generates 41% of shipped code, but developers reject 70% of suggestions. Top teams redesign workflows to protect deep focus, not just adopt AI.
InfoQWorkflows Don’t Make Agents Safer—Steering Hooks Do
Workflows might be holding your agents back. AWS’s Clare Liguori shows why model-driven agents with steering hooks outperformed rigid pipelines.
InfoQYour LLM Is a Population, Not a Person
LLMs are statistical populations, not individuals. They can outperform experts but also amplify biases and alter answers based on your inferred traits.
AI EngineerTransformers Lost to Linear Models—A Lesson for Tech Leaders
Transformer models fail to beat linear baselines in single-cell biology—a reminder to benchmark assumptions. Flow-matching may be the smarter path.
AI EngineerYour Auth is Broken for Agents. Fix It Now.
Auth fails agents: broad permissions and non-determinism are security time bombs, demanding fine-grained, dynamic controls.
AI EngineerAutomating the Performance Investigation Black Box
An agentic workflow that automates performance investigation, turning unpredictable firefighting into weekly high-ROI fixes—verified before you review.
AI EngineerRealistic Evals, Not Benchmark Scores, Gate Your AI Agents
Lyft’s team shows how realistic offline simulation and validated, actionable LLM judges create a production safety net for AI agents, not just a score.
AI EngineerHierarchy scaffolds break agent idea plateaus
Agent loops stall when they run out of ideas. A hierarchy decomposition trick helps propose bolder changes, escaping plateaus. Anecdotal but actionable.
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