
Sauce Labs Launches Industry’s First Programmable Mobile Device Cloud for the AI Era
Sauce Labs announced the Real Device Access API, the first programmable mobile device cloud designed for the AI era. The API lets developers control real Android and iOS devices through HTTP, issuing ADB or xcrun commands, streaming video, and accessing logs without a testing framework. Persistent sessions last up to 24 hours, eliminating repetitive setup and reclaiming up to 40 % of device time. Built for AI‑driven testing, the service adds device‑level visibility into memory, storage, temperature and security metrics.
What AX Can Do to Deliver Cohesion and Uniformity to AI Agents
The article introduces the concept of Agent Experience (AX), a discipline for preparing enterprise systems so AI agents can discover, invoke, and manage tools reliably. It stresses that agents require precise, structured documentation, robust API specifications, and context‑engineering such as...
Rootly | The Unofficial KubeCon EU '26 SRE Track
Rootly has published an unofficial KubeCon Europe 2026 SRE track, hand‑picking six sessions that focus on reliability, observability, incidents, and chaos engineering. The guide highlights high‑impact talks such as Airbnb’s zero‑downtime migration of 1,000 services, AI‑enabled control planes for alert fatigue,...

Claude Code's Year‑Long Journey Powers Projects, Enterprises, and Mars Rover
We shipped Claude Code as a research preview a year ago today. Developers have used it to build weekend projects, ship production apps, write code at the world's largest companies, and help plan a Mars rover drive. We built it, and you...

Instant Free Hosting for AI Agents, No Sign‑Up Required
🚨 If Vercel and Railway are for full-on apps, https://t.co/v46R668Id4 is for everything else. My friend @adamludwin just dropped web hosting for AI agents. Just tell your agent: "publish to https://t.co/v46R668Id4", get a URL back in seconds 🤯 Free. No sign-up required. https://t.co/BJm3jOTehK

New GitLab Metrics and Registry Features Help Reduce CI/CD Bottlenecks
GitLab announced two beta features aimed at easing CI/CD bottlenecks: job‑level performance metrics and a Container Virtual Registry. The job metrics panel, available to Premium and Ultimate customers, displays median and 95th‑percentile durations, failure rates, and sortable tables directly in...
MCP Security: The Current Situation
The Model Context Protocol (MCP) standardizes LLM integration with external tools, but recent flaws expose enterprises to serious threats. A prompt‑injection bug in GitHub's MCP client leaked private repository data, while Anthropic's Filesystem server suffered CVE‑2025‑53109 and CVE‑2025‑53110 sandbox‑escape vulnerabilities....

Bi-Directional Sync for ServiceNow and Azure DevOps
incident.io announced bi-directional synchronization with ServiceNow and Azure DevOps, extending its integration beyond one-way data pushes. The new capability mirrors comments, images, and updates from external tickets back into the incident.io dashboard, including Slack and Microsoft Teams channels. This ensures...
How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide
The guide outlines a disciplined engineering approach to embedding AI chatbots within existing applications, treating the bot as an interaction adapter rather than a core decision engine. It details a four‑layer architecture—client, backend orchestration, language processing, and data sources—plus a...
Integration Reliability for AI Systems: A Framework for Detecting and Preventing Interface Mismatch at Scale
AI integrations increasingly drift as independent teams modify contracts, causing silent performance degradation despite healthy dashboards. The article highlights schema fingerprinting as a low‑cost early warning and proposes a four‑layer architecture—static contract validation, pre‑production synthetic testing, runtime drift detection, and...

AI Drafts SOC2 Auth Service, Leaves 35 Issues
Asked Opus 4.6 to design an SOC2‑compliant auth service from zero. It came back with 35 issues. Pilot’s job now is to deliver them. Estimated cost: ~$4. Estimated time: ~1 hour + ~10 minutes of cleanup. --- Devs only have jobs until I get better...
Most Platform Teams Build Products, but They Don’t Know It
Platform teams often treat internal platforms as pure infrastructure, overlooking their product nature. By failing to define specific user personas, they ship technically complete features that see low adoption. The article stresses that rollout activities differ from genuine adoption, which...
Terraform Enterprise 1.2 Upgrades Workflows, Visibility, and Brownfield Migration
Terraform Enterprise 1.2 is now generally available, adding a visual UI‑driven search and import tool that lets teams bring unmanaged, brownfield resources into Terraform without writing code. The release also graduates Explorer to GA, delivering a centralized dashboard that records...
Secure AI‑Driven DevOps via Signal‑Powered SideChannel
Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real...
Building Event-Driven Data Pipelines in GCP
Google Cloud Platform enables event‑driven pipelines that replace idle batch jobs with immediate reactions to data changes. The reference architecture uses Firestore as the event source, Cloud Functions or Eventarc to capture changes, Pub/Sub as the messaging backbone, and Dataflow...
Exploring Emerging Git‑Style Tools for Data Management
Git for data is still underexplored, and it is an area that is changing so fast. That's why we look at actual tools/features that showcase how to apply a Git-like workflow for data. I compared Git-like tools for data I could...
Kilo Launches KiloClaw, Allowing Anyone to Deploy Hosted OpenClaw Agents Into Production in 60 Seconds
Kilo has launched KiloClaw, a fully managed service that provisions a production‑ready OpenClaw agent in under 60 seconds, removing the need for SSH, Docker, or YAML setup. The platform runs on multi‑tenant VMs hosted by Fly.io, providing enterprise‑grade isolation, security...
Knowledge Priming
The article introduces *knowledge priming* – the practice of feeding AI coding assistants curated project context before asking for code. It shows how generic AI output often clashes with a team’s conventions, leading to a frustrating regenerate‑fix loop. By supplying...

500+ Real-World AI Agent Projects in Open‑Source Library
𝟱𝟬𝟬+ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀. Real industry use cases. Open-source learning library. Comment “𝗔𝗚𝗘𝗡𝗧” & I’ll DM you the repo. Follow @devopsshack Save this post — you’ll need it later. #AIAgents #GenAI #AIEngineering #DevOps #DevOpsShack #MachineLearning #Automation #TechLearning #LearnInPublic #Developers #OpenSource #AIProjects
Build a Tiny End‑to‑end Pipeline, Then Ship, Measure, Explain
If you want practice that actually maps to modern AI engineering take-homes, do this. Not “study more questions”. Build a small pipeline and prove it works. A realistic weekend plan: Hour 0 to 1: pick 10 messy documents (invoices are perfect) Hour 1 to 3:...

TASKING Integrates Modern AI Technology to Enable Robust Software Verification and Validation (V&V)
TASKING announced that its embedded software toolchain now incorporates agentic AI workflows, allowing OEMs and Tier 1 suppliers to automate design, debug, and verification tasks with large language models. The new capabilities use the open‑source Model Context Protocol to let LLMs...

How to Setup Credentials for Windows to Use DigiCert KeyLocker & SMCTL?
The article walks through configuring DigiCert KeyLocker and the Signing Manager Command‑Line Tool (SMCTL) on Windows, detailing required prerequisites such as the DigiCert ONE API key, client certificate, and administrative rights. It compares four credential‑storage methods—Windows Credential Manager, properties file, temporary and...
7 Ways to Tame Multicloud Chaos with Generative AI
Enterprises are increasingly adopting multicloud to avoid vendor lock‑in, yet the resulting operational complexity strains IT teams. The article outlines seven ways generative AI—through copilots, agents, and code‑translation tools—can streamline cloud‑service selection, infrastructure provisioning, observability, compliance, and finops. By automating...

ZeroClaw Runs on $10 Hardware with <5 MB RAM
Why buy a Mac Mini when you can run ZeroClaw on $10 hardware? ZeroClaw 🦀 is a new, 100% Rust-based alternative to OpenClaw that consumes less than 5MB of RAM. Runs on $10 hardware. Uses <5MB RAM. That’s a 99% reduction in memory...

Flowrs: New TUI for Managing Airflow Jobs
A TUI for managing Airflow jobs? Something like k9s? Flowrs seems to be just that - haven't tried yet, but looks really cool. Will try next time I have to use Airflow :) https://github.com/jvanbuel/flowrs

From Days to Minutes: How Omnisend Embedded AI Into the Data Lifecycle
Omnisend embedded large language models into its DataOps pipeline, using the Cursor AI editor to auto‑generate SQL, YAML and documentation, shrinking model‑building cycles from hours to minutes. A second LLM, Gemini Code Assist, acts as an automated reviewer, cutting review...
Microservices Platforms - Part 5: Observability Platform
The fifth installment of the Microservices Platforms series introduces an Observability platform that centralizes metrics, logs, and tracing for microservices. It explains how a dedicated platform team delivers shared observability capabilities, allowing service teams to concentrate on their core domain...

KillerCoda Offers Real‑World, Hands‑On DevOps Practice
I recently discovered KillerCoda. It’s a DevOps learning platform focused on hands-on, scenario-based practice. If you’re learning DevOps, Kubernetes, Linux, Git, Docker, Terraform, Ansible, or cloud-native tools — or preparing for certifications like CKA / CKS — this can be really useful. It...

Composio Open Sources Agent Orchestrator to Help AI Developers Build Scalable Multi-Agent Workflows Beyond the Traditional ReAct Loops
Composio has open‑sourced its Agent Orchestrator, a framework that replaces the brittle ReAct loop with structured, stateful multi‑agent workflows. The system splits responsibilities between a Planner that decomposes high‑level goals and an Executor that handles tool interactions, reducing greedy decision‑making....

All-in-One Open-Source DevSecOps Library for Production Stacks
𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗟𝗶𝗯𝗿𝗮𝗿𝘆✅ One repo covering: • SAST • DAST • Supply Chain • Kubernetes Security • Cloud Guardrails • Policy as Code • DevSecOps Tooling. If you want to understand real production DevSecOps stacks, this is worth saving. Comment “𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀” & I’ll send...
Strong CI Fundamentals, Not Special AI Pipelines, Ensure Quality
How Do I Enforce Quality Checks on AI-Generated Code in CI/CD? https://t.co/IyaTDNp0Ql < money quote: "The good news: you don’t need a special AI pipeline. You need strong CI fundamentals."
Global Scale, Local Presence: Fastly Object Storage Expands to New Regions
Fastly Object Storage has doubled its global footprint by adding five new regions—us-central-1, uk-east-1, eu-south-1, jp-central-1, and au-east-1—to its existing network. The expansion targets lower latency and egress‑free data delivery for developers building edge‑centric applications. Fastly also highlights regional redundancy,...
Treat AI Like Critical Systems: Enforce Strict Governance
RT One bad AI release can undo months of trust. Treat agents like critical systems: identity, least privilege, data governance, and safety controls must be non-negotiable before going to production. #AIGovernance #DevOps @Star_CIO https://t.co/1tg10UmJNv
Priming LLM with Codebase Knowledge Improves AI Workflow
NEW POST @techygarg sees a frustration loop when working with AI and identified five patterns to help. Here's the first: priming the LLM with knowledge about the codebase and preferred coding patterns. https://t.co/yjRPvFChd0
Enhancing Security and Transparency: Introducing Private Notifications for Fastly Maintenance and Incidents
Fastly is rolling out private notifications for security‑related maintenance and incidents, delivered through an SSO‑protected status page and direct Slack alerts. The new system provides service‑specific, detailed updates that remain hidden from the public internet, mitigating information‑leak risks. Integration with...

AWS AI Tool Wipes System, Triggers 13‑hour Outage
AWS AI coding tool decided to "delete and recreate" a customer-facing system, causing 13-hour outage. ⚡️ https://t.co/Kx1ofvMwwh https://t.co/lpM618xtFh
Claude Code Approves Everything; Codex Warns of Disaster
Claude Code is approving every PR while Codex is saying "if you ship this, the entire thing will break"
Predictable AI: Announcing the January and February Validated Model Batches
Red Hat announced the January and February 2026 batches of validated AI models alongside the Red Hat AI 3.3 release. The collections feature frontier‑class reasoning, multimodal, and NVFP4‑quantized models packaged as ModelCar OCI containers for seamless deployment. Validation delivers hardware‑specific performance baselines, integrity...
Scaling Config Security, Mapping AI, Token‑Efficient Frameworks
Seroter Daily Reading List – February 23, 2026 (#727): Today’s links look at how to safeguard dynamic config changes at scale, how to teach AI to read a map, and which web frameworks are the most token-efficient for AI agents. https://t.co/qg47lXCkK1

Observability Vs. Monitoring: What's the Difference?
Observability and monitoring are often conflated, but they serve distinct purposes. Monitoring continuously watches predefined metrics and alerts when thresholds are breached, providing real‑time detection of outages or performance degradation. Observability goes deeper, aggregating metrics, logs, and traces to infer...
Red Hat AI Enterprise: Bridging the Gap From Experimentation to Production Scale
Red Hat AI Enterprise is now generally available, delivering a unified AI platform built on OpenShift that spans the entire model lifecycle from development to high‑performance inference. The solution targets the long‑standing production gap by letting organizations move from proof‑of‑concept...
Migrate Your VMs Faster with the Migration Toolkit for Virtualization 2.11
Red Hat has announced the general availability of storage offload migrations in Migration Toolkit for Virtualization 2.11, integrated with Red Hat OpenShift. The feature shifts data movement from the IP network to the underlying storage array, delivering up to ten‑times...

Agentic SDLC: GitLab and TCS Deliver Intelligent Orchestration Across the Enterprise
GitLab and Tata Consultancy Services (TCS) have teamed up to deliver an Intelligent Orchestration layer that embeds AI agents into the full software development lifecycle. The partnership leverages GitLab’s Duo Agent Platform and a TCS Center of Excellence to standardize...
AI Infrastructure Cost Optimization for Scaling Teams
In 2026 AI leaders face a shift from building models to managing the cost of running them at scale. Fragmented cloud stacks create hidden expenses through data egress, idle compute, and the engineering "glue" needed to keep services synchronized. Upsun...

ClaudeCode and Pilot: 2026’s Top AI Workspace
The best AI workspace in 2026? ClaudeCode + Pilot – AI automated delivery pipeline 🤌 https://pilot.quantflow.studio
No-Code AI MVPs Are Easy; Reliability Is Hard
Building an AI MVP with no-code is the easy part. The hard part? 👉 Understanding the full architecture 👉 Knowing what to check before and after deployment 👉 Catching risks before users do That’s where real technical knowledge shows up. Anyone can ship a demo. Very few...
Researchers Baked 3x Inference Speedups Directly Into LLM Weights — without Speculative Decoding
Researchers from Maryland, Livermore Lab, Columbia and TogetherAI introduced a multi‑token prediction (MTP) technique that embeds a special token into existing LLM weights, eliminating the need for separate drafting models. The method uses a self‑distillation student‑teacher training loop to...

AI Is Redefining How We Build Software
The first recording from The Pragmatic Summit is available to watch for anyone: How AI is Reshaping the Craft of Building Software. With @thsottiaux (Head of Codex, OpenAI) and @vijayeraji (CTO of Applications, OpenAI) A very good one. Watch it here: https://t.co/apNHGykKbg...
Checklist to Safely Deploy AI Agents Without Hallucinations
RT How do you really know when an AI agent is ready for production and not about to hallucinate, overshare data, or torch your UX? I lay out a practical release checklist. #AI #DevOps @Star_CIO https://t.co/1tg10UmJNv

Airbnb's Scalable Dynamic Config Prevents Outage Chaos
Config changes SHOULD be super boring, but we all see those public outages caused by misconfiguration. Here's a look at how Airbnb does dynamic config changes at scale ... https://t.co/S6jjDs54uv https://t.co/Xzvix5lw5G