Insights That Matter Today
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Your ML Model Is Not a Function, It’s a System: How to Keep It Sane in Production
Why this matters this week Most teams are past the “can we train a decent model?” phase. The new bottleneck is: can we keep it useful, safe, and cost-effective once it’s live? In the last quarter I’ve seen a pattern: A recommendation model that slowly degraded over 3 months because the logging format changed and…
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Stop Calling It an “Agent” If It’s Just a Cron Job with GPT
Why this matters this week AI “agents” and copilots are now leaving demo-land and touching real workflows: invoices, support queues, fraud queues, ETL, internal tools. The conversation is shifting from “can GPT do X?” to “can we run this safely, cheaply, and repeatably in production?” Three concrete things I’m seeing this week across engineering orgs:…
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Shipping with Robots: What AI Actually Changes in Your SDLC
Why this matters this week The AI + software engineering story is finally moving from “cool demos” to “who owns the incident when this breaks prod?” In the last quarter, several teams I’ve spoken with have: – Cut manual regression time by 30–50% using AI-assisted test generation—but then – Burned weeks debugging flaky, overfit tests…
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Solid-State Batteries Are Leaving the Lab. Here’s What Actually Matters for Builders.
Why this matters this week Solid-state batteries (SSBs) have been “5–10 years away” for over a decade. The last few months finally look different, not because of a single big breakthrough, but because: At least three major players are now running pilot or pre-pilot production lines for automotive-format solid-state cells. Several OEMs have attached explicit…
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Your LLM Stack Is Probably Non-Compliant by Default
Why this matters this week Two things are happening at once: Your org is quietly shoving more critical data into LLMs Customer tickets, contracts, financials, source code, HR documents. Often via “experimental” side projects, browser extensions, or internal tools. Very few of these flows are wired into your existing data retention, access control, or audit…
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Serverless on AWS Without Surprises: Designing for Cost, Reliability, and Observability
Why this matters this week AWS serverless (Lambda, API Gateway, EventBridge, Step Functions, DynamoDB, SQS, SNS) is no longer “experimental” for most orgs. It’s a core part of production stacks, especially in cost-sensitive and spiky workloads. What’s changed recently isn’t that serverless suddenly got cheaper or faster in a headline-grabbing way. It’s that: More teams…
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