Insights That Matter Today
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Your ML Model Isn’t Failing — Your Plumbing Is
Why this matters this week Teams are discovering that “we have a good model” is not the same as “we have a dependable system.” Three patterns keep coming up in conversations this week: Teams rolling out new LLM-based and classic ML features are surprised that infra and ops costs are 5–10x what they budgeted. “Good…
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Stop Gluing Scripts Together: A Practical Look at AI Automation That Actually Ships
Why this matters this week Executives keep walking into engineering reviews asking some version of: “Why can’t we just have an AI agent that does this end-to-end?” Meanwhile, you’re staring at: A decade of cron jobs and brittle RPA macros A support team that still retypes data between systems A cost line for “AI experiments”…
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Shipping with Robots: How AI Is Quietly Rewriting the SDLC
Why this matters this week AI in software engineering has moved from “cool demo” to “this is affecting my sprint velocity and incident rate.” In the last few months, across multiple orgs, we’re seeing: Test suites written or refactored by AI that materially reduce regression bugs. Codegen tools that can scaffold full features, not just…
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Solid-State Batteries: What’s Real in 2025 and What Isn’t
Why this matters this week If you work on EVs, charging infrastructure, energy storage, or grid planning, solid-state batteries stop being abstract R&D once they hit pilot manufacturing at scale. That is happening now. In the last 6–9 months: Multiple OEMs have locked in concrete (if small) production timelines for solid-state EV packs. At least…
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Policy-as-Code or Policy-as-PPT? Getting Real About AI Privacy & Governance
Why this matters this week If you’re piloting or scaling AI in production, you’ve probably heard one or more of these in the last 7 days: “Legal says we can’t send PII to that model vendor.” “Security wants a DPIA / TIA / something-IA before we go live.” “Audit is asking how we know the…
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The Hidden Cost of “Serverless Sprawl” on AWS (and How to Get Ahead of It)
Why this matters this week AWS serverless used to be the “cheap by default” choice. For many teams, it no longer is. Over the last 12–18 months, three trends have converged: Lambdas and Step Functions are now orchestrating critical, always-on production flows, not just “glue code.” Teams have layered on more managed services (API Gateway,…
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