Best of Cloud — February 2026

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    Article
    Avatar of cursorCursor·12w

    The third era of AI software development · Cursor

    Cursor's CEO outlines three eras of AI-assisted software development: tab autocomplete, synchronous prompt-and-response agents, and now autonomous cloud agents that work independently over longer timescales. Cursor reports that agent users now outnumber tab users 2:1, and 35% of internal PRs are created by autonomous agents running in cloud VMs. The vision is developers acting as directors—defining problems, reviewing artifacts, and running multiple agents in parallel—rather than writing code line by line. Cursor's newly launched cloud agents are positioned as the first step toward this model.

  2. 2
    Article
    Avatar of frontendmastersFrontend Masters·13w

    How I Setup Production-Grade Deployment for My (Somewhat) Vibe-Coded App – Frontend Masters Blog

    The CEO of Frontend Masters shares how he built and deployed Goalzi, a social goal-setting app written in Go, using a production-grade AWS stack. The app was built with Go's standard library and AI assistance (Cursor) for the finishing touches. The deployment pipeline uses AWS App Runner, ECR, SSM Parameter Store for secrets, SES for email, Supabase for Postgres, and Route 53 for DNS. A single `make deploy` command runs tests, applies SQL migrations via a one-off Docker container, builds a multi-stage Docker image tagged with the git SHA, and pushes to ECR. Key practices covered include proper IAM scoping, secrets management via SSM, environment-consistent migrations, syncing production data locally, and configuring SES with DKIM/SPF/DMARC for reliable email delivery.

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    Video
    Avatar of techwithlucyTech With Lucy·16w

    Cloud Engineers... Don’t Be Scared Of AI (just master these 3 skills)

    Cloud engineers facing AI fatigue need to focus on just three essential skills: prompt engineering for infrastructure (using AI to generate deployment code), AI-assisted debugging and automation (leveraging AI tools to troubleshoot issues and automate repetitive tasks), and building/deploying AI workloads in the cloud (running LLMs, ML pipelines, and vector databases). These skills enable engineers to 10x productivity while companies increasingly seek professionals who can bridge cloud and AI. The key is ignoring the noise and mastering these core competencies rather than chasing every AI trend.

  4. 4
    Article
    Avatar of securityboulevardSecurity Boulevard·13w

    Anthropic Didn’t Kill Cybersecurity. It Just Reminded Us There Are Two Doors.

    Anthropic's Claude Code Security announcement triggered a sharp selloff in cybersecurity stocks, with companies like Okta, SailPoint, and CrowdStrike dropping significantly. The panic was misplaced: AI-powered code scanning addresses only one of two primary attack vectors — software vulnerabilities. The second and equally significant vector — identity theft, credential abuse, phishing, and social engineering — remains entirely untouched by code scanning tools. Identity-focused companies like Okta and SailPoint don't compete with Claude Code Security at all; they solve a structurally different problem. The identity attack surface is durable because it stems from architectural patterns and human behavior, not patchable bugs. Analysts from Barclays and Jefferies called the selloff illogical, and the security industry's own data (Verizon DBIR, MITRE ATT&CK) consistently shows credentials and human manipulation as dominant breach vectors.

  5. 5
    Article
    Avatar of convexConvex·15w

    Just landed in Europe

    Convex now offers EU hosting in AWS eu-west-1 region for customers with regulatory and compliance requirements. EU deployments can be created through the Convex Dashboard or Management API, with CLI support coming next week. The service is available on all plans including free tier, though paid plans have 30% higher pricing due to AWS costs. Existing deployments require backup and restore to migrate regions. Canada and Australia regions are planned next.

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    Article
    Avatar of wheresyouredWhere's Your Ed At·15w

    Premium: The Hater's Guide To Microsoft

    Microsoft is spending unsustainably on AI infrastructure while revenue growth stagnates. The company has invested $277 billion in capital expenditures since 2022, primarily on GPUs and data centers, yet Azure's growth has flatlined. Capital expenditures now consume 117% of Azure revenue and 45% of total company revenue, while Intelligent Cloud segment growth has stalled despite massive infrastructure investments. CEO Satya Nadella has overseen 80,000+ layoffs since 2014 while transforming Microsoft from an asset-light software monopolist into an asset-heavy behemoth betting on AI returns that haven't materialized. The company's remaining performance obligations suggest declining future revenue despite paper deals with OpenAI and Anthropic worth hundreds of billions that appear financially impossible to fulfill.

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