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 1-6 of 27 articles on agile estimation, Jira workflows, remote planning, and responsible AI.
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Google Cloud Run's AI Agent Push Makes Day-2 Work Sprint Scope
Google Cloud is pushing teams beyond AI agent prototypes toward production-grade Cloud Run workloads. Product owners should estimate observability, security, data grounding, GPU cost, orchestration, and fallback behavior before the sprint starts.
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Anthropic Fable 5's Cyber Safeguards Belong in Sprint Planning
Anthropic redeployed Claude Fable 5 with updated cyber classifiers and a jailbreak severity framework. Product owners should plan blocked prompts, fallback models, false positives, audit logs, and escalation paths before AI workflows hit production.
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California's Anthropic Claude Deal Makes AI Adoption Sprint Scope
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.
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Gartner's AI Coding Cost Warning Belongs in Sprint Planning
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.
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Micron and Anthropic's AI Memory Deal Is a Sprint Planning Signal
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.
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Google DeepMind's AI Control Roadmap Makes Agent Safety Sprint Scope
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.
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