Can GitHub Copilot Chat Boost Your Coding Efficiency? A Hands‑On Review

GitHub Copilot, launched just over two years ago, now powers more than a million developers and claims to generate over 46% of code while accelerating coding speed by up to 55%.

With the release of VS Code 1.80, Microsoft introduced Copilot Chat, an AI‑driven conversational assistant that appears as a new sidebar panel after linking a GitHub account (access requires a wait‑list approval).

Key Capabilities

Explain the purpose of a line, file, or library API.

Identify problems in code and suggest fixes.

Rewrite code for readability or performance.

Generate new tests and components.

Answer VS Code‑specific questions.

Answer general programming queries.

Support slash commands (e.g., /explain, /tests, /fix, /createWorkspace, etc.) for targeted actions.

Installation and Basic Usage

The extension can be installed from the VS Code Marketplace at

https://marketplace.visualstudio.com/items?itemName=GitHub.copilot-chat

. After installation, a chat entry appears in the sidebar; signing in with a GitHub account enables the assistant.

Practical Evaluation

Code Understanding: Using a complex regular expression, Copilot provided a detailed, accurate explanation and allowed follow‑up questions, effectively acting as a tutor.

Bug Detection: An intentional logical error (while keeping syntax correct) was introduced into a function. Copilot detected the issue and offered a corrected version, demonstrating solid error‑finding ability for isolated functions.

Test Generation: The /tests command generated six test cases for a sample function; five passed and one failed due to an inaccurate expected output, illustrating both the usefulness and occasional inaccuracy of AI‑generated tests.

Project Scaffolding: The new /createWorkspace command attempted to bootstrap a Vue project. The generated project relied on an outdated vue‑cli‑service and omitted essential Babel and Webpack configurations, reflecting the model’s knowledge cutoff and the need for up‑to‑date data.

Limitations

Copilot occasionally hallucinates, inventing non‑existent APIs when faced with difficult questions—a known limitation of large language models that requires users to verify responses.

Overall Assessment

Despite its imperfections, Copilot Chat proves valuable for code comprehension, completion, automated testing, and rapid project setup. As the underlying model improves, its utility for developers is expected to grow, heralding a more AI‑augmented programming workflow.