2026¶

Interactive PR Reviews with GitHub Copilot in VS Code

Strict code review standards - like mandatory reviews and conversation resolution - are vital for preventing technical debt, but they often introduce major bottlenecks. The current GitHub Web and UI-focused review process necessitates not only distracting context switching but also significant manual labor. Constantly toggling between the browser to read comments and the IDE to fix code breaks flow and encourages developers to skim feedback rather than engaging with it deeply.

The solution isn't to lower standards, but to improve the workflow. This post demonstrates how to handle Pull Request reviews entirely within VS Code, using GitHub Copilot to interactively fetch comments, propose fixes, and resolve threads via the GitHub CLI. By keeping the entire cycle inside the editor, you can validate changes locally and resolve feedback faster - without ever opening a browser.

Introducing Sigma Computing Embedded Analytics for Confluence

We're excited to announce the launch of Sigma Computing Embedded Analytics for Confluence - our newest connector that brings live data visualizations and analytics from Sigma Computing directly into your Confluence pages.

If your team uses Sigma to analyze data from Snowflake, Databricks, BigQuery, Redshift, or other data warehouses, you can now embed those insights directly into your Confluence documentation, project pages, and team wikis without switching between tools.

Validate Atlassian Forge Manifest in VS Code

The manifest.yml file is the blueprint of any Atlassian Forge app, defining modules, permissions, and app identity. As an app grows, maintaining a valid manifest becomes critical.

Traditionally, developers rely on the @forge/cli tool to check for errors, specifically running commands like forge lint. Under the hood, the CLI uses the @forge/manifest package to validate your file against a strict specification. However, this workflow is reactive: you make a change, switch to the terminal, run a command, and wait for feedback.

A better experience is real-time validation directly inside your editor. This allows you to catch errors as you type and leverages features like autocompletion for complex module definitions.