A Markdown curriculum for engineers moving into AI engineering
The AI‑Native Engineer curriculum is a publicly available markdown repository designed to help software engineers transition into AI/ML engineering. It consists of seven structured modules covering fundamentals such as LLM basics, prompting, retrieval, agents, evaluation, deployment, and emerging topics, each with resources, tools, projects, and common pitfalls. The repo also provides cross‑cutting files, a progress tracker, and is aimed at self‑taught developers, backend engineers, and new graduates seeking deeper AI expertise.
- ▪The curriculum is organized into seven markdown modules that progress from foundational concepts to frontier AI topics.
- ▪Each module includes canonical resources, industry‑used tools, a hands‑on project, and a list of common pitfalls.
- ▪Supporting files like hot‑topics.md, soft‑skills.md, and capstone.md complement the modules and a progress tracker helps learners mark completion.
- ▪The repository targets self‑taught developers, backend/full‑stack engineers adding AI to their skill set, and recent graduates looking for depth beyond basic SDK usage.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,053 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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/bimal1023/AI-native-engineer |
| Publication time | Sat, 08 Aug 2026 06:40:44 +0000 |
| Retrieval time | 2026-08-08T06:50:47.676Z |
| Last seen | 2026-08-08T06:50:47.676Z |
| 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 | 5w5k7BeIPIo0 · 1 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
The AI-Native Engineer A structured, opinionated curriculum for software engineers moving into AI/ML engineering — the discipline that separates someone who can call an LLM API from someone who can design, evaluate, ship, and operate AI systems that hold up in production. It's built as plain markdown: seven modules from foundations to frontier, each with canonical resources, the tools actually used in industry, a hands-on project, and the pitfalls that bite people first. I'm writing it as I learn (publicly, mistakes included), and it's open for anyone making the same transition — self-taught devs, backend/full-stack engineers adding AI to their scope, and new grads who want depth beyond "I used the OpenAI SDK once." Last reviewed: August 2026 · See hot-topics.md for what's moving fast vs.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.