# GitHub Copilot code review

GitHub Copilot capability for reviewing code and providing feedback, including suggested changes where possible.

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## Coding Challenge #131 - Automated Code Review Agent

DevFeed: [Coding Challenge #131 - Automated Code Review Agent](<https://devfeed.tech/articles/coding-challenge-131-automated-code-review-agent-29207.md>)

Original publisher: [Read original article](<https://codingchallenges.substack.com/p/coding-challenge-131-automated-code>)

Author: John Crickett

Published: 2026-08-15T08:01:51Z

Content type: tutorial

Language: en

Sources: [Coding Challenges](<https://devfeed.tech/sources/coding-challenges.md>)

Topics: [Code Challenge](<https://devfeed.tech/topics/code-challenge.md>), [GitHub Copilot code review](<https://devfeed.tech/topics/github-copilot-code-review.md>), [pull-requests](<https://devfeed.tech/topics/pull-requests.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [YAML](<https://devfeed.tech/topics/yaml.md>), [engineering-culture](<https://devfeed.tech/topics/engineering-culture.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [automated](<https://devfeed.tech/tags/automated.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [coding](<https://devfeed.tech/tags/coding.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [github](<https://devfeed.tech/tags/github.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [pull-request](<https://devfeed.tech/tags/pull-request.md>), [run](<https://devfeed.tech/tags/run.md>), [tools](<https://devfeed.tech/tags/tools.md>), [triggers](<https://devfeed.tech/tags/triggers.md>), [workflow](<https://devfeed.tech/tags/workflow.md>), [yaml](<https://devfeed.tech/tags/yaml.md>)

### AI overview

Coding Challenge #131 asks readers to build an automated code review agent that reviews pull requests against team coding guidelines and posts findings as comments. The challenge covers retries, event triggers, concurrency control, large pull requests, static analysis tools, and lookup capabilities.

### Source excerpt

This challenge is to build your own code review agent.

## 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.

## How I Use AI Tools for Code Search, Review, Low-Stakes Work, and Learning

DevFeed: [How I Use AI Tools for Code Search, Review, Low-Stakes Work, and Learning](<https://devfeed.tech/articles/how-i-use-ai-39404.md>)

Original publisher: [Read original article](<https://blog.pranshu-raj.in/posts/how-i-use-ai/>)

Author: Pranshu Raj

Published: 2026-01-27T19:14:20Z

Content type: opinion

Language: en

Sources: [Pranshu Raj - blog on backend systems, performance and sidequests](<https://devfeed.tech/sources/pranshu-raj-blog-on-backend-systems-performance-and-sidequests.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [GitHub Copilot code review](<https://devfeed.tech/topics/github-copilot-code-review.md>), [prompting](<https://devfeed.tech/topics/prompting.md>), [Programming](<https://devfeed.tech/topics/programming.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [ide](<https://devfeed.tech/tags/ide.md>), [programming](<https://devfeed.tech/tags/programming.md>)

### AI overview

The author describes using AI tools in daily development work for searching unfamiliar code, code review, low-stakes tasks such as Dockerfiles and CI, and pair programming for learning. They avoid using AI for architecture decisions, complex or sensitive logic, and product questions.

### Source excerpt

What AI use has improved for me, what I avoid doing and things that have worked best for me so far.

## Datadog uses Codex for system-level code review

DevFeed: [Datadog uses Codex for system-level code review](<https://devfeed.tech/articles/datadog-uses-codex-for-system-level-code-review-6367.md>)

Original publisher: [Read original article](<https://openai.com/index/datadog>)

Published: 2026-01-09T00:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [GitHub Copilot code review](<https://devfeed.tech/topics/github-copilot-code-review.md>), [codex](<https://devfeed.tech/topics/codex.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Code review](<https://devfeed.tech/topics/code-review.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [observability](<https://devfeed.tech/topics/observability.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [incident](<https://devfeed.tech/topics/incident.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [codex](<https://devfeed.tech/tags/codex.md>), [coding](<https://devfeed.tech/tags/coding.md>), [company](<https://devfeed.tech/tags/company.md>), [incident](<https://devfeed.tech/tags/incident.md>), [observability](<https://devfeed.tech/tags/observability.md>), [openai](<https://devfeed.tech/tags/openai.md>), [production](<https://devfeed.tech/tags/production.md>), [pull-request](<https://devfeed.tech/tags/pull-request.md>), [pull-requests](<https://devfeed.tech/tags/pull-requests.md>), [review](<https://devfeed.tech/tags/review.md>), [tools](<https://devfeed.tech/tags/tools.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

Datadog integrates OpenAI's Codex coding agent into pull request workflows to perform system-level code review. The article describes automated reviews across a major repository, engineer feedback, and an incident replay harness using historical incidents to evaluate whether AI-assisted review can identify systemic risks beyond style issues.

### Source excerpt

OpenAI and Datadog brand graphic with the OpenAI wordmark on the left, the Datadog logo on the right, and a central abstract brown fur-like texture panel on a white background.

## I wrote a replacement for GitHub's code review bot

DevFeed: [I wrote a replacement for GitHub's code review bot](<https://devfeed.tech/articles/i-wrote-a-replacement-for-github-s-code-review-bot-26635.md>)

Original publisher: [Read original article](<https://blog.alexellis.io/ai-code-review-bot/>)

Author: Alex Ellis

Published: 2025-11-18T00:00:00Z

Content type: opinion

Language: en

Sources: [Alex Ellis' Blog](<https://devfeed.tech/sources/alex-ellis-blog.md>)

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

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [firecracker](<https://devfeed.tech/tags/firecracker.md>), [github](<https://devfeed.tech/tags/github.md>), [github-copilot](<https://devfeed.tech/tags/github-copilot.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [linux](<https://devfeed.tech/tags/linux.md>), [llm](<https://devfeed.tech/tags/llm.md>), [opencode](<https://devfeed.tech/tags/opencode.md>), [review](<https://devfeed.tech/tags/review.md>), [self-hosted](<https://devfeed.tech/tags/self-hosted.md>), [self-hosting](<https://devfeed.tech/tags/self-hosting.md>), [slicer](<https://devfeed.tech/tags/slicer.md>), [source](<https://devfeed.tech/tags/source.md>)

### AI overview

The author describes building a replacement for GitHub's code review bot. They explain code review bots and compare GitHub Copilot's feedback with the opencode CLI, reporting that Copilot's feedback was superficial while opencode produced more useful review feedback for an OpenFaaS product change.

### Source excerpt

If GitHub themselves have a native code review bot, why not just use it?

## Google's Critique code review tool, process, and AI-powered improvements

DevFeed: [Google's Critique code review tool, process, and AI-powered improvements](<https://devfeed.tech/articles/how-google-takes-the-pain-out-of-code-reviews-with-97-dev-satisfaction-39090.md>)

Original publisher: [Read original article](<https://read.engineerscodex.com/p/how-google-takes-the-pain-out-of>)

Author: Engineer's Codex

Published: 2023-12-04T04:14:31Z

Content type: article

Language: en

Sources: [Engineer's Codex](<https://devfeed.tech/sources/engineer-s-codex.md>)

Topics: [Code review](<https://devfeed.tech/topics/code-review.md>), [Google](<https://devfeed.tech/topics/google.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>), [GitHub Copilot code review](<https://devfeed.tech/topics/github-copilot-code-review.md>), [Statistics](<https://devfeed.tech/topics/statistics.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [code-review](<https://devfeed.tech/tags/code-review.md>), [google](<https://devfeed.tech/tags/google.md>), [statistics](<https://devfeed.tech/tags/statistics.md>), [tooling](<https://devfeed.tech/tags/tooling.md>)

### AI overview

This article examines Google's Critique code review tool, Google's code review guidelines, internal satisfaction statistics, and newer AI-powered suggestions for code changes.

### Source excerpt

A study of Google's code review tooling (Critique), AI-powered improvements, and recent statistics