microsoft/AI-Engineering-Coach

better agentic engineering

Owned by Microsoft

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microsoft/AI-Engineering-Coach has 4k+ stars and 600+ forks on GitHub, is written in TypeScript, and was last pushed on Oct 16, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Added to GitGenius on September 16th, 2026
Created on May 6th, 2026
Open Issues & Pull Requests: 56 (+0)
GitHub issues: Enabled
Number of forks: 601
Total Stargazers: 4,336 (+0)
Total Subscribers: 23 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.2 hours
Mean response time: 5.8 days
90th percentile: 9.4 days
Tracked items: 45

Maintainer activity

6 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Roughly one issue in four opened in the past year never receives a reply. 94% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in under an hour, while "enhancement" waits about 32 hours. Only 42% of issues opened in the past year have been closed. Three people close 88% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 35
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 80 days
Stale 30+ days: 32
Stale 90+ days: 21

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (24)
  • enhancement (16)
  • agentic-workflows (6)
  • backlog (2)
  • question (2)
  • dx (1)
  • good first issue (1)
  • performance (1)

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Detailed Description

AI Engineering Coach is a TypeScript project that provides guidance and tooling for building agentic systems.

The project addresses the challenge of engineering reliable and effective AI agents by offering structured approaches to agent development. It provides resources and patterns for developers working with agentic architectures, helping them navigate common pitfalls and design decisions in this emerging area.

Developers building AI agents or systems that rely on autonomous decision-making should consider this tool if they want established patterns and best practices for agentic engineering. It suits teams exploring agent-based architectures who benefit from Microsoft's perspective on how to structure and validate these systems effectively.

The project shows active development with regular updates and engagement on issues and pull requests, indicating ongoing refinement of its guidance and tooling based on practical experience.