Where the Streaver team thinks out loud.
Deep-dives, applied AI, and lessons from shipping production software.
Fresh from the blog
AI & AgentsWhy Parallel AI Coding Agents Need Ephemeral Dev Environments
We moved our dev-workspace setup off manual steps and onto two scripts our tooling runs on create and archive. The deciding factor wasn't the time saved; it was that disposable, collision-proof workspaces are the only thing that survives multiple coding agents working in parallel.
Culture & TeamWhy We Give Our Expertise Away (and What It Gives Back)
A LinkedIn message we almost archived led us to give our engineering expertise away to an NGO fighting child malnutrition in Ecuador. What it cost, what it gave back to our team, and why AI has removed the last excuse for software companies not to do the same.
Culture & TeamTeam Expansion vs. Staff Augmentation: How Streaver Works
Staff augmentation adds hours; Team Expansion adds a team. Why Streaver builds around shared knowledge, guide-not-bottleneck leadership, and people who propose rather than just execute.
AI & AgentsThe Best Claude Model for Design and Marketing Work (2026): A Guide by Model and by Role
Which Claude model should marketers and designers use, including for code? A guide by model and role: Haiku, Sonnet, Opus, Fable, with costs and the trap to avoid.
EngineeringWhat is AWS Systems Manager? Automating Patch Management on Cloud Systems
A hands-on guide to automating EC2 patching with AWS Systems Manager (SSM) and Patch Manager — from prerequisites and SSM Agent setup to patch baselines, scan associations, and compliance visibility.
AI & AgentsHow to Automate Documentation: A Guide to Document Workflow Automation
Document automation promises less manual work and ready-to-use data, but real-world documents reveal an uncomfortable truth: you can't optimize speed, accuracy, and cost at once. A look at why that 'impossible triangle' shows up and how we approach the trade-offs.
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