Teaching an AI to know itself: Building a local LLM agent in D
Teaching an AI to Know Itself: Building a Local LLM Agent in D Jun 7, 2026 • Danny Arends • #Community, #Guest Posts, #Project Highlights, #Tutorials, #Code, #Machine Learning I’ve been writing D for a long time. DaNode, my self-contained web server, has been running in production for over 12 years. DImGui is a full SDL + Vulkan renderer that supports skeletal animations via the Open Asset Import Library, HDR lighting, and compute shaders, written entirely in D calling into external libraries via ImportC.
- ▪Teaching an AI to Know Itself: Building a Local LLM Agent in D Jun 7, 2026 • Danny Arends • #Community, #Guest Posts, #Project Highlights, #Tutorials, #Code, #Machine Learning I’ve been writing D for a long time.
- ▪DaNode, my self-contained web server, has been running in production for over 12 years.
- ▪DImGui is a full SDL + Vulkan renderer that supports skeletal animations via the Open Asset Import Library, HDR lighting, and compute shaders, written entirely in D calling into external libraries via ImportC.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,283 of its stories.
Story provenance
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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 | Dlang |
| Canonical URL | https://blog.dlang.org/2026/06/07/teaching-an-ai-to-know-itself-building-a-local-llm-agent-in-d/ |
| Publication time | Sun, 02 Aug 2026 22:36:31 +0000 |
| Retrieval time | 2026-08-02T22:40:46.579Z |
| Last seen | 2026-08-02T22:40:46.579Z |
| 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 | pg4mIlC5JMHE · 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
Teaching an AI to Know Itself: Building a Local LLM Agent in D Jun 7, 2026 • Danny Arends • #Community, #Guest Posts, #Project Highlights, #Tutorials, #Code, #Machine Learning I’ve been writing D for a long time. DaNode, my self-contained web server, has been running in production for over 12 years. DImGui is a full SDL + Vulkan renderer that supports skeletal animations via the Open Asset Import Library, HDR lighting, and compute shaders, written entirely in D calling into external libraries via ImportC. So when I decided to build a local agentic large language model (LLM) (DLLM) from scratch, I’d sooner write it in Brainfuck than reach for Python. To be fair, the Python LLM ecosystem is enormous.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Dlang.