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The Deska blog

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Product notes, release highlights and how we build Deska: the one infinite canvas workspace for your editor, terminal, browser, notes and AI agents.

  1. The Landscape of Agent Orchestration Tools in 2026A technical guide to agent orchestration tools in 2026. Compare local frameworks, infinite canvases, and mobile relay systems for AI-driven development.
  2. Onboarding Docs That Survive Contact With a New HireLearn how to build onboarding docs that actually work for developers by using visual layouts, live environments, and AI coding agents.
  3. OG Images for Every Page: An Automated PassLearn to implement OG images for every page using an automated pass. Build a scalable dynamic social preview system for your web projects.
  4. Agent Observability: Logging What the Model DidMaster agent observability by logging model actions, hidden thoughts, and tool calls. Learn how to debug AI agents using trace logs and real-time monitoring.
  5. Implementing OAuth Flows With an Agent: The Pitfall MapLearn the technical challenges and security risks of implementing OAuth flows with an agent to ensure secure authentication in AI-driven development.
  6. Designing a Notification System With Agent HelpLearn the architecture patterns for designing a notification system with agent help to manage high throughput, priority queues, and delivery providers.
  7. Debugging Nginx Configs With an AgentLearn how debugging Nginx configs with an agent simplifies hair-pulling syntax errors, proxy loops, and upstream failures using an infinite canvas workspace.
  8. Controlling Agent Network Egress for Secure AI DevelopmentLearn strategies for controlling agent network egress to prevent data exfiltration and ensure secure execution of AI coding agents in your local environment.
  9. A Naming Consistency Pass Across the CodebaseLearn how to execute a naming consistency pass across the codebase to improve maintainability and developer velocity using modern tools and AI agents.
  10. Consistent Naming Across a Codebase, by AgentLearn how to achieve consistent naming across a codebase using AI agents and local-first workflows to reduce technical debt and improve readability.
  11. Hunting N+1 Queries With an AgentLearn how to optimize ORM performance and use an AI agent for hunting N+1 queries in your codebase to eliminate redundant database roundtrips.
  12. Extracting a Package From a Monorepo With an AgentLearn how to use an AI agent for extracting a package from a monorepo, maintaining git history and resolving dependencies efficiently.
  13. An Agent Watching Your Logs for PatternsLearn how to use an agent watching your logs for patterns to automate debugging, identify recurring errors, and improve system observability in real time.
  14. Realistic Mock Data by Agent: Beyond Lorem IpsumLearn how to generate realistic mock data by agent to improve testing accuracy. Move beyond generic placeholders with AI and modern developer tools.
  15. Agent Memory Systems: What Persists Between SessionsExplore how agent memory systems handle persistence across sessions, from short-term context to long-term architectural strategies for AI developers.
  16. Memory Files: Persistent Agent Knowledge That WorksLearn how to use memory files to provide persistent agent knowledge and improve LLM coding performance across sessions and complex codebases.
  17. Mapping a Feature to Every File It TouchesLearn how to perform mapping a feature to every file it touches to improve code navigation, reduce regressions, and master complex software architectures.
  18. An Agent Loop From Scratch in 200 LinesLearn how to build an agent loop from scratch using Python to understand the core architecture of modern AI coding assistants and autonomous developer tools.
  19. Making Logs Consistent Enough to QueryLearn how to implement structural logging strategies to make logs consistent enough to query when building and debugging complex AI coding agent systems.
  20. Auditing Loading and Empty States With an AgentLearn how to conduct a thorough loading and empty states audit using AI agents to ensure UI completeness and a better user experience in your web applications.