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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.

LatestAgent Work on Battery: Optimizing Developer ProductivityLearn how to manage agent work on battery efficiently. Balance performance and power consumption while using AI coding agents and local tools.10 min readRead the post

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  1. Battery Life During Remote Dev SessionsLearn how to optimize battery life during remote dev sessions. A technical guide on protocols, hardware acceleration, and using Deska for efficient coding.
  2. Battery Died Mid-Agent-Run: Solving the Disconnected Development CrisisLearn how to manage long-running AI agents and what to do when your battery died mid-agent-run to ensure your development context and terminal sessions survive.
  3. Batching Agent InterruptionsLearn how batching agent interruptions improves developer focus and reduces context switching when working with AI coding tools like Claude Code and Codex.
  4. Batching Agent PR ReviewsLearn how to scale your development workflow by batching agent PR reviews using local canvases, mobile monitoring, and multi-agent orchestration strategies.
  5. Batch LLM Jobs: Half Price, Twice the PatienceLearn how to optimize costs using batch LLM jobs. Save up to 50% on API fees for non-urgent AI workloads in your development pipeline.
  6. Background Work on Mobile: What the OS AllowsExplore the constraints of background work on mobile platforms. Learn how iOS and Android manage background tasks and how Deska enables remote development.
  7. Background Sync on Mobile: Fighting the OS PolitelyMaster background sync on mobile platforms. Learn how to handle OS restrictions, optimize energy use, and maintain connections for developer tools like Deska.
  8. Background LLM Calls: Who Pays and Who ConsentsExplore the ethics and technical challenges of background LLM calls in developer tools, focusing on cost ownership, transparency, and data privacy.
  9. Background Coding Agents: Run Work You Are Not WatchingLearn how background coding agents handle long-running refactors and tests, and how to maintain visibility through remote monitoring and infinite canvases.
  10. AWS CLI Profiles and SSO Setup: A Guide for DevelopersLearn how to manage multiple AWS CLI Profiles and SSO setup to streamline your cloud workflow and improve security with IAM Identity Center.
  11. Automating Verification of Agent OutputLearn advanced strategies for automating verification of agent output to ensure reliability in AI-driven development workflows and CI/CD pipelines.
  12. Workspace Design for Autistic DevelopersOptimize your workspace design for autistic developers. Explore sensory management, cognitive load, and infinite canvas tools to build a focused environment.
  13. An Audit Trail for Agent ChangesLearn how to implement a robust audit trail for agent changes to ensure governance, security, and traceability in AI-driven development workflows.
  14. Atuin: Your Shell History, Finally UsefulMaster your terminal with Atuin shell history. Learn how to store, search, and sync your shell commands effectively across all your machines.
  15. Attributing Agent Work in CommitsLearn best practices for attributing agent work in commits to maintain security, traceability, and accountability in AI-assisted development workflows.
  16. Your Attention Budget for Supervising AgentsManaging your attention budget for supervising agents is critical as AI coding becomes mainstream. Learn strategies to avoid cognitive overload.
  17. Life After Atom: Editors and Workspaces Former Atom Users LoveExplore the best Atom editor replacement in 2026. Discover modern IDEs, extensible editors, and canvas workspaces for developers moving on from Atom.
  18. Ask the Agent What It Still Needs to KnowImprove AI coding results by learning how to ask the agent what it still needs to know before starting a complex task.
  19. Asking the Agent to Teach, Not Just DoLearn how asking the agent to teach improves long-term developer velocity. Discover strategies for using AI agents to master new codebases and architectures.