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Engineering Leadership - Page 9
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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Cole MedinCoding agents need your intent more than your code
A viral demo makes agents look unstoppable, but it works because the finished app is the reference. Most software starts as a vague idea.
AI EngineerYour GPU Neighbor Can Identify Your Model from Timing Alone
Shared GPU timing channels let attackers identify model architecture, decoding speed, and workload type. Defenses are operational, not technical.
InfoQAI coding success hinges on tests and requirements, not codegen
AI writes code fast, but the bottleneck is knowing what correct means. A senior engineer explains why tests and requirements now decide delivery.
InfoQPayments on Three Clouds, Then Back to Two: A Resilience Reality Check
Form3 ran payments across AWS, GCP, and Azure, then learned the US market wanted active-standby. Multi-cloud is a market-driven trade-off.
Theo - t3․ggAI bills are rising because intelligence got cheaper, not more expensive
Token prices are up, but intelligence per dollar is down sharply. AI bills grow because cheap capability gets used everywhere. Track cost per task.
AI EngineerContainment is a vanity metric: agent escalations can be the real work.
Containment is a vanity metric for AI agents. Druid's benchmark shows the same number means different things by industry, and escalation can be revenue.
AI EngineerYour AI Governance Policy Is Useless. Here's What Works.
AI agents will ignore your written policies. Live demo shows prompt-based controls fail; gateway enforcement blocks data exfiltration, cost spikes, and…
Latent SpaceAlphaFold won a benchmark, not the problem. Scaling needs problem definition first.
AlphaFold didn't solve protein folding; it matched PDB structures. Benchmark wins are not problem wins, and confidence needs calibrating.
AI EngineerAI makes output cheap; review discipline decides whether you ship slop.
AI makes output free; review becomes the real cost. Martinez argues teams ship plausible slop because incentives reward generation, not ownership.
Weights & BiasesAgent trust starts with tracing, not with better prompts
MasterClass built a four-agent AI teacher, but the operationally interesting part is the tracing layer that turns one learner complaint into a searchable…
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