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Engineering Leadership - Page 18
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 EngineerCoding agents need paved roads, not solo cowboys.
Agent adoption stalls without organizational redesign. Debois argues for shared systems over solo prompting, with platform teams owning paved roads.
Latent SpaceDigital twins are 85% accurate—but only if you collect the right data
Simile AI achieves 85% accuracy in digital twin behavior prediction, outperforming frontier models by 2-3x on niche populations. The tradeoff: proprietary…
IBM TechnologyStripe and IBM bet the model war is already over—routing is the
Stripe's $7B OpenRouter acquisition signals that routing, not models, is where AI value is moving. IBM's dual partnerships with OpenAI and Anthropic…
Machine Learning Street TalkWhy the Silicon Valley singularity myth is a dangerous distraction
The singularity, Mars colonies, and AGI apocalypse are presented as a dangerous distraction. Learn why. A physicist dismantles tech's core growth assumptions.
David OndrejMarkdown Is More Valuable Than Code: Rethinking SDLC for Agentic Workflows
A consultancy argues the future of engineering is markdown over code. Structured context, not agent speed, determines productivity. The tradeoff: more…
AI EngineerAgent safety moves from models to runtime-level governance
Agent intelligence is almost solved. The real challenge is safely granting dynamic, scoped access at runtime. Docker’s new runtime aims to provide that, but…
AI EngineerYour fine-tuned model is tech debt: one team's $12M lesson
Fine-tuned models can generate massive revenue while quietly accumulating tech debt. One team's $12M LLM app took a week per fix cycle. Switching to agentic…
IBM TechnologyDon't Choose Between Rules and Agents; Use Both in Sequence
Business rules handle the 80% of predictable decisions. AI agents tackle the messy cases rules can't anticipate. The real engineering challenge is designing…
AI EngineerSynthetic data for healthcare AI: reverse inference, let clinicians own the pipeline
Anterior's synthetic data pipeline for healthcare AI: reverse the inference workflow, sample from symbolic policy trees, and let clinicians own the…
AI EngineerHow Maven Clinic rebuilt engineering for an AI-native world: 5 leadership lessons
Maven Clinic's 2-year AI transformation reveals how engineering roles, hiring, planning cycles, and code review practices are being reshaped—with senior…
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