88% of enterprise AI agent projects fail before production. Almost never a model problem — it's missing guardrails, no verification, context rot, zero observability. The model is the engine. The harness is the car. 🔧

AI-augmented dev workflows don't break at generation — they break at the handoff to CI/CD. AI code passes linting but misses semantic edge cases. The real unlock? A validation layer between generation and merge 🧩

90% of devs use AI coding agents weekly — but Veracode's 4-year benchmark shows just 56% security pass rate, with no improvement over time. Adoption is settled. Trust isn't. quashbugs.com/blog/ai-coding…

62% of orgs hit unexpected AI costs big enough to change a business decision. The pruning has started — but cutting by invoice size isn't cutting by value. That's the wrong branch. levantar.ai/insights/somethi…

A year of AI work taught us: people keep asking for help with the same three things — knowing where AI pays, making it safe to rely on, and scaling what works into agents. So that's what we built around. levantar.ai

We needed marketing, didn't want to buy it. Ran the idea through our own validation tool, built what the evidence supported, and ended up with Upcast.Social — now a product others pay for 🚀 levantar.ai/insights/how-we-…

We needed marketing, didn't want to buy it. Ran the idea through our own validation tool first. Built what the evidence supported. Upcast.Social went from internal tool to revenue line. 🔗 levantar.ai/insights/how-we-…

TU Berlin research introduces the 'ai4se' taxonomy — classifying AI in SE by purpose, activity, type, and autonomy. Only 37.4% of practitioners use model-driven engineering widely. AI could change that. arxiv.org/html/2409.18048v4

84% of devs now use or plan to use AI tools — up from 76% last year (Stack Overflow 2025 survey). The question's shifted from adoption to secure, scalable integration. sqmagazine.co.uk/ai-coding-s…

Striking stat from this SiliconANGLE piece: 65% of organisations report engineering teams spend just 0–20% of their time on net-new innovation 🤯 The article covers a conversation between AWS's Deepak Singh and Amazon's Steve Tarcza about why AI-native development isn't...

Gartner has published its 2026 market reviews for enterprise AI coding agents — a category that's now firmly established in how organisations build software.

CloudSEK's 2026 cyber threat trends breakdown highlights something worth paying attention to: insider threats have evolved well beyond disgruntled employees deliberately causing damage. Their analysis points to accidental exposure, overpermissioned accounts, contractor risk,...

The AI coding tools market just hit a major inflection point 📊 GitHub Copilot shifted to usage-based billing on 1 June 2026, charging per premium request once a plan's included allowance runs out.

Spam filters catch roughly 85% of junk before you see it. That remaining 15% is where the real battle happens — and it's getting smarter every quarter. What's slipping through your defenses right now that you haven't noticed yet?

Ever wonder why spam keeps evolving? Because it works on enough people to stay profitable. The economics are wild — sending millions of messages costs almost nothing, so even a tiny conversion rate pays off. Understanding that math changes how you think about defense.

Spam isn't just annoying — it's a signal. Every unwanted message that hits your inbox represents someone testing what slips through. Understanding how spam works is the first step to building filters that actually hold up.

.@zakwilliams 🙏