#planning-poker
California's Anthropic Claude Deal Makes AI Adoption Sprint Scope
Tue Jun 30 2026
California's new Anthropic agreement gives state agencies and local governments discounted Claude access. Product owners should treat AI rollout as backlog work: governance, training, data boundaries, workflow design, and planning poker assumptions.

Gartner's AI Coding Cost Warning Belongs in Sprint Planning
Wed Jun 24 2026
Gartner predicts AI coding token costs could surpass the average developer salary by 2028. Product owners should bring token budgets, model tiers, agent loops, and ROI assumptions into planning poker before AI-assisted work enters the sprint.

Micron and Anthropic's AI Memory Deal Is a Sprint Planning Signal
Tue Jun 23 2026
Micron and Anthropic's AI infrastructure agreement shows that memory, storage, supply, latency, and token economics are now product planning constraints for teams building AI features.

Google DeepMind's AI Control Roadmap Makes Agent Safety Sprint Scope
Sun Jun 21 2026
Google DeepMind's AI Control Roadmap treats advanced AI agents like potential insider threats. Product owners should translate that into permissions, monitoring, escalation, rollback, and planning poker conversations before giving agents real work.

Epic's Unreal Engine 6 Plan Makes Interoperability Sprint Scope
Thu Jun 18 2026
Epic is pushing Unreal Engine 6 toward portable content, Fortnite skin interoperability, Verse, and model-assisted workflows. Product owners should estimate the entitlement, marketplace, moderation, and rollback work before treating it as a simple integration.

Elon Musk's Trillionaire Journey Is a Planning Lesson for Product Owners
Thu Jun 18 2026
Elon Musk becoming the first trillionaire after SpaceX shares soared is not a template to copy blindly. It is a reminder that huge outcomes are built from long-range bets, measurable milestones, risk reviews, and relentless planning discipline.

Apple Xcode 27 and Siri AI Turn App Intents Into Sprint Scope
Sat Jun 13 2026
Apple WWDC26 put Siri AI, App Intents, Foundation Models, and Xcode 27 agentic coding in front of developers. Agile teams should estimate the permissions, testing, review, and cross-app workflow risk before sprint commitment.

OpenAI's Ona Deal Turns Long-Running Agents Into Sprint Scope
Fri Jun 12 2026
OpenAI plans to acquire Ona so Codex agents can run in secure, persistent cloud environments. Agile teams should estimate the review gates, permissions, logs, and operational work before sprint commitment.

Project Solara Shows AI Agents Are Moving Off the Laptop
Fri Jun 05 2026
Microsoft Project Solara points to agent-first devices that blend edge hardware, cloud agents, sensors, identity, and enterprise controls. Agile teams need to estimate that operating model before sprint commitment.

OpenAI Codex Is Moving Beyond Developers. Sprint Planning Has to Catch Up
Wed Jun 03 2026
OpenAI expanded Codex for knowledge workers on June 2, 2026. Here is how agile teams should estimate cross-functional AI work, review boundaries, and ownership before agents touch product delivery.

GitHub Copilot AI Credits Start Today: Estimate AI Cost Before the Sprint
Mon Jun 01 2026
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.

Microsoft Build 2026 Shows Why AI Agents Need Better Sprint Planning
Sun May 31 2026
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.

AI Coding Dependence Is Now an Estimation Risk
Sat May 30 2026
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.

Agentic Infrastructure Changes Sprint Estimation
Sat May 30 2026
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.

AI Coding Agents Are Changing Sprint Planning in 2026
Fri May 29 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.

Spec-Driven Development Makes Planning Poker More Important
Fri May 29 2026
AWS Kiro and the wider spec-driven development trend show why better requirements, clearer estimates, and human review matter when AI agents build software.

Jira Story Points: A Practical Guide to Better Agile Estimation
Thu May 21 2026
How to use Jira story points, planning poker, and velocity reports without turning estimation into a pressure metric for product teams.

Planning Poker in 2026: A Practical Guide for AI-Assisted Agile Teams
Mon May 18 2026
How remote product teams can use planning poker, Jira, and AI suggestions without losing the conversation that makes estimates useful.

Scrum Today: What Still Works, What Needs to Change
Mon Apr 21 2025
Scrum still works when teams use it as a lightweight operating system for clarity, learning, and delivery, not as a calendar full of status meetings.

AI Estimation: A Practical Way to Use AI Without Losing Team Judgement
Mon Apr 21 2025
AI can make agile estimation faster by preparing context and surfacing risks, but the final estimate still needs the team conversation.
