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Engineering Leadership - Page 33
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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Latent SpaceWhy the Next AI Scaling Axis Might Be a Wet Lab
Lila Sciences treats automated labs as verifiers, turning physical experiments into a scaling axis by generating tokens for generalist AI.
GOTO ConferencesThe Alignment Trap: Why Technical Leadership Isn’t Senior Coding
Tech leadership is about alignment, not architecture. Kua’s framework shows how to spot misalignment, own it, and reduce complexity across teams.
InfoQCutting SDK Duplication in Half with a Rust Core
Temporal's shared Rust core halved SDK duplication, but the bridge layer's complexity is the real lesson for leaders scaling multi-language products.
The Pragmatic EngineerDark AI Factories Break: Context Engineering and Slow Loops Work
Dex Horthy explains why his lights-off coding factory failed and how context engineering plus incremental loops are the pragmatic path to reliable AI code.
AI EngineerSoftware engineering is becoming a product taste job
Anthropic’s agents now land 65% of product PRs, shifting engineering to product thinking and raising the bar for automated code review.
IBM TechnologyWhen AI Guardrails Lock Out the Good Guys
Open models unshackle attackers but block defenders with guardrails. CISA’s simpler patch-prioritization model may lack teeth.
Theo - t3․ggThe Rewrite Option Is Back
Bun’s Zig-to-Rust rewrite shows AI can now execute large-scale code migrations, but the real lesson is that community governance is the new hidden risk.
AI EngineerContext Engineering, Not Model Smarts, Is Blocking Production Agents
Atlan’s experiments show managing context as versioned, skill-based systems creates operational headaches—the infrastructure gap scaling teams must close.
AI EngineerAI Skills Without Evals Are Production Time Bombs
AI skills boost agents ~15%, but unevaluated skills silently fail and waste tokens. Here's the eval discipline most teams are missing.
AI EngineerHow Cursor’s FDE Team Avoids the Staff Augmentation Trap
Cursor’s FDE lead shares a sharp framework for deciding where high-touch engineering actually drives ROI—and where it’s just expensive staff augmentation.
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