PlannerPoker Blog
Practical agile planning for modern product teams.
Guides on planning poker, Jira-connected estimation, remote refinement, and using AI without losing the team conversation.
Latest articles
Showing 13-18 of 27 articles on agile estimation, Jira workflows, remote planning, and responsible AI.
Page 3 of 5
GitHub Copilot AI Credits Start Today: Estimate AI Cost Before the Sprint
GitHub Copilot moved to usage-based AI Credits on June 1, 2026. Here is how agile teams should plan story points, agent usage, budgets, and review work before sprint commitment.
Read article
Microsoft Build 2026 Shows Why AI Agents Need Better Sprint Planning
Microsoft Build 2026 is putting agentic AI, GitHub Copilot, MCP, and safety tooling at the center of developer work. Here is how agile teams should estimate agent work before it reaches production.
Read article
AI Coding Dependence Is Now an Estimation Risk
Developers are leaning hard on AI coding tools, but AI-generated code still needs review. Here is how sprint planning and planning poker should respond.
Read article
Agentic Infrastructure Changes Sprint Estimation
AWS, Google, and cloud platforms are redesigning infrastructure for AI agent traffic. Product teams should estimate bursty workloads, permissions, memory, and cost before they ship agent features.
Read article
AI Coding Agents Are Changing Sprint Planning in 2026
Enterprise coding agents are moving from autocomplete into real delivery workflows. Here is how agile teams should adjust estimation, planning poker, and Jira habits.
Read article
Spec-Driven Development Makes Planning Poker More Important
AWS Kiro and the wider spec-driven development trend show why better requirements, clearer estimates, and human review matter when AI agents build software.
Read article