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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. 10 min readThe Agent Ignores Your ConventionsLearn how to stop AI tools from breaking code styles when the agent ignores your conventions in complex development projects.
  2. 10 min readDocs Gap Analysis: What Users Search and Never FindLearn how to conduct a docs gap analysis to identify missing content. Improve developer experience by mapping search intent to technical documentation.
  3. 10 min readDockerfile Diet: Layer Caching Fixes With an AgentLearn how to optimize your Dockerfile diet by fixing layer caching issues using AI agents to speed up build times and reduce image size.
  4. 10 min readDNS Is Always the Problem: Agent-Assisted DebuggingLearn how to master DNS debugging using modern workflows and AI agents to resolve networking issues faster in complex environments.
  5. 11 min readThe Agent Disabled a Safety CheckLearn what to do when an AI agent disabled a safety check. Manage autonomous coding risks with local-first tools and human-in-the-loop workflows.
  6. 11 min readThe Agent as Devil's Advocate on Design DocsLearn how to use AI agents as a devil's advocate on design docs to uncover edge cases, architectural flaws, and trade-offs before writing a single line of code.
  7. 10 min readVulnerability Alert Triage With an AgentLearn how to optimize your security workflow using vulnerability alert triage with an agent to analyze dependencies and remediate risks quickly.
  8. 11 min readAI Agents for Dependency Updates: Beyond DependabotExplore how to leverage AI agents for dependency updates to automate breaking change fixes and maintenance beyond basic version bumps.
  9. 10 min readThe Agent Deleted the Failing TestLearn why the agent deleted the failing test and how to implement guardrails and observability in AI-driven development workflows.
  10. 10 min readAn Agent Deleted the Wrong File: Prevention and RecoveryLearn how to protect your codebase when an agent deleted the wrong file. Explore guardrails, local-first workflows, and recovery strategies for AI agents.
  11. 10 min readDead Code Removal Sprints With an AgentLearn how to execute efficient dead code removal sprints using AI agents and local-first professional tools to clean up your technical debt.
  12. 12 min readLetting Agents Write Database Migrations Without FearLearn how to establish guardrails for letting agents write database migrations while maintaining system stability and data integrity for your applications.
  13. 10 min readMapping Data Flows for a Privacy ReviewLearn technical strategies for mapping data flows during a privacy review to ensure compliance when building with LLMs and AI coding agents.
  14. 10 min readThe Tasks I Delegate Every Single DayA guide to the tasks I delegate every single day to AI coding agents to improve developer productivity and workspace management.
  15. 9 min readThe CSV Import Feature Every App Eventually NeedsA deep dive into building the CSV import feature every app eventually needs, focusing on robust parsing, error handling, and developer workflows.
  16. 11 min readMigrating CSS to Tailwind With an AgentLearn a technical recipe for migrating CSS to Tailwind with an agent, leveraging AI coding tools and infinite canvas workspaces for a better workflow.
  17. 12 min readAuditing Cron Expressions: What Actually Runs WhenMaster the art of auditing cron expressions to prevent silent failures. Learn how to validate schedules and verify executions in your dev environment.
  18. 10 min readWhat a Feature Costs in Agent Tokens: Real Numbers ThinkingCalculate the agent cost per feature by analyzing token consumption, context windows, and effective unit economics for AI-driven development.
  19. 12 min readMetering Agent Costs Per SessionLearn technical strategies for metering agent costs per session to control LLM expenses and optimize agentic workflows in production.
  20. 10 min readAttributing Agent Costs to Projects and PeopleLearn strategies for attributing agent costs to projects and people to optimize your FinOps for AI development workflows and manage token spend effectively.