Show HN: Strava for AI coding – analytics on your Copilot/Claude/Codex usage
AI Engineer Coach is a tool that analyzes local AI coding assistant usage logs to provide developers with insights on their coding practices. It offers dashboards for tracking activity, detecting anti-patterns, measuring AI-generated code output, and improving workflow without sending data off the machine. The tool supports various AI coding harnesses and emphasizes privacy through local-only processing and optional AI features.
- ▪AI Engineer Coach processes AI session logs locally, ensuring no data leaves the user's machine.
- ▪It provides analytics on AI coding usage, including practice scores, anti-pattern detection, and code volume by language and model.
- ▪The tool includes features like skill discovery, context health scoring, and personalized learning based on user behavior.
- ▪All analysis is performed locally, with no proprietary telemetry collected or transmitted by the extension.
- ▪AI Engineer Coach is an open-source project by Microsoft employees, released under the MIT license and not an official Microsoft product.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,266 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/microsoft/AI-Engineering-Coach |
| Publication time | Sat, 16 May 2026 15:23:41 +0000 |
| Retrieval time | 2026-05-16T15:25:18.886Z |
| Last seen | 2026-05-16T15:25:18.886Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Ct1yvprEl5NT · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
AI Engineer Coach better agentic engineering. Analyze your AI coding assistant usage — any harness, one dashboard. 585890575-d60203ce-c678-4fdd-918e-f6c04bff04df.mp4 What it does AI Engineer Coach reads your local AI session logs and turns them into actionable insights — no data leaves your machine. Track progress -- practice scores, weekly trends, daily activity charts Detect anti-patterns -- 45 rules across prompt quality, session hygiene, code review, tool mastery, and context management Measure output -- AI-generated code volume by language, workspace, model, and harness Discover skills -- find repeated prompts and turn them into reusable skills Score context health — agentic readiness checks, instruction-file audits, workspace context maps Screenshots Quick Start git clone…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.