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37 posts tagged with "jira"

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Jira Export Limit: How to Export More Than 1,000 Issues (2026)

· 5 min read
NGPilot
Quick Answer

Jira Cloud's native export stops at 1,000 issues per export and only includes columns visible in the issue navigator. To export more: split your filter into JQL batches, use the REST API, or install Simple Bulk Issues Excel CSV Export, which exports up to 5,000 issues per run in CSV, XLS, or XLSX — and tells you plainly when a result set was truncated.

If you have ever exported a project for reporting, an audit, or a migration, you have probably run into Jira Cloud's export limit without being warned first: the export finishes, the file looks complete, and the row count quietly stops at 1,000. This article explains where that limit comes from, then compares the three practical ways to export larger issue sets in 2026.

Jira vs Confluence: What Each Is Actually For (with Examples)

· 9 min read
NGPilot
Quick Answer

Jira and Confluence are two different Atlassian products that are often bought together but solve fundamentally different problems. Jira tracks work — issues, sprints, backlogs, and workflows. Confluence documents knowledge — pages, decisions, specs, and team context. They connect natively so an issue and the page explaining it stay linked. Use Jira for "what are we doing and who is doing it," and Confluence for "why are we doing it and how does it work."

What you'll learn
  1. The core purpose of each product (with a one-line definition you can repeat)
  2. What Jira is good at and bad at
  3. What Confluence is good at and bad at
  4. How they connect natively
  5. A practical decision guide: which tool for which task

Jira and Confluence are the two products most people picture when they hear "Atlassian." They are frequently sold together, deeply integrated, and yet regularly confused — even by teams that use both every day. This guide explains what each is actually for, where each one shines and struggles, and how to decide which tool a given piece of work belongs in. The goal is to give you a mental model you can apply to any task, not a feature checklist.

How to Use AI for Jira Sprint Planning and Velocity Prediction

· 6 min read
NGPilot
Quick Answer

AI can predict sprint velocity and forecast capacity by analyzing historical data. Use AI recommendations to plan realistic sprints, suggest optimal scope, and track prediction accuracy over time.

What you'll learn
  1. How to enable AI velocity prediction in Jira
  2. How to use AI for capacity forecasting
  3. How to get AI scope recommendations for sprint planning
  4. How to track and improve AI prediction accuracy

Sprint planning is part science, part guesswork. Teams estimate velocity based on gut feeling, leading to overcommitment or underutilization. AI can replace this guesswork with data-driven predictions.

This guide covers how to use AI for Jira sprint planning, from velocity prediction to scope recommendations.

AI for Jira Workflows: Automate Triage, Assignment, and Prioritization

· 6 min read
NGPilot
Quick Answer

AI in Jira automates issue triage, assignment, and prioritization by analyzing content and historical patterns. Configure Atlassian Intelligence to suggest categories, assignees, and priorities automatically.

What you'll learn
  1. How to enable and configure AI features in Jira
  2. How to set up AI-powered issue triage and categorization
  3. How to configure intelligent assignment based on team capacity
  4. How to enable AI prioritization suggestions

Every new Jira issue needs decisions: What type is it? Who should work on it? How urgent is it? These decisions happen manually today, taking time and introducing inconsistency.

AI can automate these decisions by analyzing issue content, historical patterns, and team context. This guide covers how to use AI for Jira workflow automation, from triage to assignment.

What Is Atlassian Government Cloud (AGC)? NGPILOT Apps Available (2026)

· 3 min read
NGPilot
Quick Answer

Atlassian Government Cloud (AGC) is a FedRAMP-authorized deployment of Confluence and Jira designed for U.S. government agencies and contractors. It meets FedRAMP Moderate baseline requirements for handling sensitive government data. NGPILOT has apps available on AGC for teams needing compliant diagramming and content tools.

How to Write Better Jira Ticket Descriptions with AI

· 7 min read
NGPilot
Quick Answer

AI can expand brief Jira ticket summaries into detailed descriptions with acceptance criteria, edge cases, and technical context. This reduces back-and-forth and helps developers understand requirements faster.

What you'll learn
  1. How to define a ticket description standard for your team
  2. How to use AI to expand brief descriptions into detailed tickets
  3. How to generate acceptance criteria with AI assistance
  4. How to add context with examples and edge cases

The quality of a Jira ticket determines how quickly work gets done. A vague description like "fix the login bug" creates hours of back-and-forth. A detailed description with acceptance criteria, edge cases, and technical context lets developers start immediately.

AI can transform brief summaries into comprehensive tickets. This guide covers how to use AI to write better Jira descriptions, from prompt templates to review workflows.

How to Create Jira Issue Templates for Consistent Team Workflows

· 7 min read
NGPilot
Quick Answer

Jira issue templates standardize how bugs, features, and tasks are reported. Create pre-filled templates with required fields and structured descriptions to eliminate incomplete issues.

What you'll learn
  1. How to identify and catalog your team's recurring issue types
  2. How to create pre-filled templates that enforce required fields
  3. How to use bulk create for batch issue generation from spreadsheets
  4. How to train your team to use templates consistently

Inconsistent issue reporting is a silent productivity killer. One developer writes a two-line bug report with no steps to reproduce. Another writes a three-paragraph feature request buried in technical jargon. The result: wasted time clarifying, misestimated work, and frustrated teams.

Issue templates solve this by standardizing how work is described. Every bug report has the same structure. Every feature request includes the same fields. This guide shows how to create and enforce templates in Jira.

How to Export Jira Audit Logs for Compliance and Security Reviews

· 6 min read
NGPilot
Quick Answer

Jira audit logs track who changed what, when, and where. Export logs to CSV or via REST API for compliance audits, security investigations, and change management documentation.

What you'll learn
  1. How to access and navigate the Jira audit log
  2. How to filter audit entries by user, date, and action type
  3. How to export audit data to CSV or via REST API
  4. How to set up automated logging and retention policies
  5. How to analyze audit data for compliance and security

Audit logs are the paper trail of your Jira instance. They record who did what, when, and where — essential information for compliance audits, security investigations, and change management.

Without proper audit logging, you cannot prove who deleted that issue, when permissions changed, or whether someone accessed restricted data. This guide covers how to access, export, and analyze Jira audit logs.