70% of Teams Run 3+ LLMs in Production. Nobody Knows How

OpenAI’s Market Share Dropped From 75% to 63% in One Year — And That’s the Least Interesting Part Datadog’s 2026 State of AI Engineering report, released in April 2026, analyzed LLM telemetry across more than a thousand production environments. The headline finding: 70% of organizations now run three or more …

AI SRE Agents Resolve 11.4% of Real Incidents. Vendors

In IBM Research’s ITBench benchmark, agents built on state-of-the-art models resolved just 11.4% of realistic Site Reliability Engineering scenarios — Kubernetes environments with injected faults, full observability data, and a ReAct-style agent wired to logs, traces, metrics, and a shell. That same class of agent landed 25.2% on security operations …

DevOps Days Brasil: What Cloud Engineers Need to Know

DevOps Days Brasil has become the main technical gathering for platform engineers and SREs operating at scale in the Brazilian market. Here is what to expect and why it matters for cloud practitioners.

72% of Your LLM Calls Are Re-Processing Identical Prompts

69% of Your LLM Input Tokens Are System Prompts — And You’re Paying to Re-Process Them Every Single Call Datadog’s 2026 State of AI Engineering report, built on LLM telemetry from over a thousand production environments, contains a number that should make every platform engineer wince: 69% of all input …

5% of AI Requests Fail in Production — And Most Teams

Nearly 1 in 20 AI Requests Fail in Production — and the Bottleneck Isn’t the Model Datadog’s State of AI Engineering 2026 report, published in April 2026, pulled data from thousands of organizations running LLMs in production and found something that should make every platform engineer sweat: roughly 5% of …

MCP Security Debt Is Coming Due: 6 CVEs, 5000 Servers

6 CVEs in 6 Months: Why MCP Is the Most Dangerous Attack Surface in Your AI Stack In February 2025, a researcher demonstrated the first public tool-poisoning proof-of-concept against an MCP server. By June, there were six published CVEs — including a critical RCE in VS Code’s MCP integration discovered …

AWS Graviton6 Delivers 40% Performance Boost for Cloud

AWS Graviton6 Delivers 40% Performance Boost for Cloud Workloads in 2026 ` AWS has officially pulled back the curtain on its Graviton6 processor, and the early benchmarks are staggering: a 40% performance uplift for cloud workloads rolling out through 2026. By doubling down on custom ARM architecture, Amazon is handing …

Why Deployment Speed is the New 2026 AI Moat – how

Why Deployment Speed is the New 2026 AI Moat: Engineering Reality In 2026, 88% of CEOs now rank “deployment velocity” as a more important KPI than “model accuracy” — a stark recognition that a 90% accurate model deployed today is more valuable than a 95% accurate model deployed next quarter. …

Cloud Computing Basics Every Engineer Should Revisit

Even experienced cloud engineers benefit from revisiting core computing concepts. This practical breakdown covers the foundational models, service categories, and architectural patterns that matter across AWS, Azure, GCP, and Kubernetes.

Anthropic Releases Claude 4 with 1M Context Window

Anthropic Releases Claude 4 with 1M Context Window Digesting Entire Monorepos: The Developer Workflow Revolution The 1M token context window represents a paradigm shift in how AI interacts with production codebases. One million tokens accommodates approximately 25,000-30,000 lines of code—enough to encompass a mid-sized microservice, a substantial internal library, or …

Made with ChatGPT Images 2.0 — complete guide: all you need

Made with ChatGPT Images 2.0 Deconstructing the Viral r/ChatGPT Demos: What Developers Are Actually Generating The recent surge of content on Reddit reveals a distinct shift from simple text-to-image novelty to complex, utility-driven workflows. In a prominent Original Reddit discussion, developers showcased projects that leverage the tool’s improved spatial reasoning …

I asked ChatGPT to imagine itself in retirement in 2025

I asked ChatGPT to imagine itself in retirement I asked ChatGPT to imagine itself in retirement is a topic that has gained relevance in recent days. This case illustrates an important shift in how this subject is impacting the field. Understanding what’s happening – and why it matters now – …