# GitHub Copilot code review

Published articles for GitHub Copilot code review.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## How we make AI coding more cost efficient without sacrificing task quality

DevFeed: [How we make AI coding more cost efficient without sacrificing task quality](<https://devfeed.tech/articles/how-we-make-ai-coding-more-cost-efficient-without-sacrificing-task-quality-79.md>)

Original publisher: [Read original article](<https://github.blog/ai-and-ml/github-copilot/how-we-make-ai-coding-more-cost-efficient-without-sacrificing-task-quality/>)

Author: Erik Kristensen

Published: 2026-09-02T18:00:00Z

Content type: article

Language: en

Sources: [GitHub](<https://devfeed.tech/sources/github.md>), [GitHub Engineering](<https://devfeed.tech/sources/github-engineering.md>)

Topics: [GitHub Copilot](<https://devfeed.tech/topics/github-copilot.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [GitHub Copilot CLI](<https://devfeed.tech/topics/github-copilot-cli.md>), [coding](<https://devfeed.tech/topics/coding.md>), [GitHub Copilot app](<https://devfeed.tech/topics/github-copilot-app.md>), [GitHub Copilot code review](<https://devfeed.tech/topics/github-copilot-code-review.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [architecture-optimization](<https://devfeed.tech/tags/architecture-optimization.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [compression](<https://devfeed.tech/tags/compression.md>), [cost](<https://devfeed.tech/tags/cost.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [experiments](<https://devfeed.tech/tags/experiments.md>), [github-copilot](<https://devfeed.tech/tags/github-copilot.md>), [github-copilot-cli](<https://devfeed.tech/tags/github-copilot-cli.md>), [github-copilot-code-review](<https://devfeed.tech/tags/github-copilot-code-review.md>), [llms](<https://devfeed.tech/tags/llms.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>)

### AI overview

GitHub Copilot's efficiency work focuses on total task cost and duration rather than minimizing tokens in individual tool responses. The article describes evaluating changes with coding benchmarks and controlled experiments, and explains that overly compressed output can cause agents to repeat work.

### Source excerpt

Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task. The post How we make AI coding more cost efficient without sacrificing task quality appeared first on The GitHub Blog.

## How GitHub improved Copilot code review by reshaping agent workflows

DevFeed: [How GitHub improved Copilot code review by reshaping agent workflows](<https://devfeed.tech/articles/better-tools-made-copilot-code-review-worse-here-s-how-we-actually-improved-it-19847.md>)

Original publisher: [Read original article](<https://github.blog/ai-and-ml/github-copilot/better-tools-made-copilot-code-review-worse-heres-how-we-actually-improved-it/>)

Author: Napalys Klicius

Published: 2026-07-10T15:57:47Z

Content type: article

Language: en

Sources: [GitHub](<https://devfeed.tech/sources/github.md>)

Topics: [GitHub Copilot code review](<https://devfeed.tech/topics/github-copilot-code-review.md>), [Code review](<https://devfeed.tech/topics/code-review.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [GitHub Copilot](<https://devfeed.tech/topics/github-copilot.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Unix](<https://devfeed.tech/topics/unix.md>)

Tags: [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [agentic-workflows](<https://devfeed.tech/tags/agentic-workflows.md>), [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [architecture-optimization](<https://devfeed.tech/tags/architecture-optimization.md>), [cli](<https://devfeed.tech/tags/cli.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [developer-tools](<https://devfeed.tech/tags/developer-tools.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [github](<https://devfeed.tech/tags/github.md>), [github-copilot](<https://devfeed.tech/tags/github-copilot.md>), [github-copilot-code-review](<https://devfeed.tech/tags/github-copilot-code-review.md>), [llms](<https://devfeed.tech/tags/llms.md>), [pull-request](<https://devfeed.tech/tags/pull-request.md>), [review](<https://devfeed.tech/tags/review.md>), [unix](<https://devfeed.tech/tags/unix.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

GitHub describes how migrating Copilot code review to shared Unix-style exploration tools initially increased review costs and reduced issue detection in benchmarks. Rewriting the reviewer instructions around pull request workflows led to roughly 20% lower average review cost while maintaining the same review quality.

### Source excerpt

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here's how we actually improved it. appeared first on The GitHub Blog.