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arthurcolle
dspy.ex
Elixir2025–2026
arthurcolle / dspy.ex

dspy.ex

DSPy prompt engineering

Science & Engineering
Explore on GitHubRead Hacker News discussions
2Distinct people
4Mentions
0Explicit recommenders
37GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

DSPy prompt engineering

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month4 dated mentions

Observed mentions: 2025-06-02 10:20:28 UTC to 2026-02-03 04:14:46 UTC.

012025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 20252025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 20252025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC110
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC101
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC101

What Hacker News says

4 sources
arthurcolle·Feb 3, 2026
Location: Washington, D.C. (open to relocation, but preference to initial remote period) Remote: Yes Willing to relocate: Yes (June 2026 and beyond) Technologies: Python, Rust, Elixir | Neo4j, Postgres, Redis, K8s | PyTorch, MLX, LoRA/QLoRA, Modal A100s, H100s | FastAPI, Phoenix, Rails Résumé/CV: https://linkedin.com/in/arthurcolle Email: arthur@distributed.systems Background: Deep knowledge of OpenAI, Anthropic + LLM APIs. Able to run models on GPUs and Apple Silicon unified memory. I have trained + deployed agentic coding, tool calling and multi-turn agent models in two prior roles. Building autonomous agent infrastructure. Currently run a small R&D shop (Distributed, Systems & Co.) doing distributed AGI and AI safety research. I am developing graphsub (graph substrate), a graph-native service mesh for agents, eval harnesses,
Read the rest
self-modifying DSLs. Before that: 4 years at Goldman Sachs deep in SecDB/Slang (the reactive dependency-graph system). I worked on collateralized mortgage obligations, on the interest rate products trading desk (as an engineer in the technology division), automated parts of the downstream IR-swap lifecycle and on CDS lifecycle management for novations and other lifecycle events. Had a hand in managing and working on our internal TriOptima notional compression cycles. I got promoted from tech into structuring. Series 7. Recent work: 15-service LLM stack (zero downtime across 98 deploys), fine-tuned Llama-3.1-8B (23% hallucination reduction), Rust daemons and TUIs. 3k+ GitHub contributions last year. OSS: agents.erl (BEAM-native cognition), https://github.com/arthurcolle/openai-mcp, fortitude (a framework for bootstrapping agents), https://github.com/arthurcolle/dspy.ex Looking for: AI labs, defense tech, or startups building agentic systems / foundation model infra / AI safety tooling. IC or research roles. I can run SFT and RL experiments, train models, and I'd love to be able to train agentic models and ideally with large GPU clusters. I have enjoyed these last two years, a focused period of building "agentic scaffolding" and scaling up multi-agent systems and if any of this sounds appealing to you, I can definitely be of some help to your org! GitHub: https://github.com/arthurcolle recent research publications: https://apartresearch.com/project/detecting-piecewise-cyber-...
In Ask HN: Who wants to be hired? (February 2026)
arthurcolle·Jan 3, 2026
Location: Washington, D.C. (open to relocation, but preference to initial remote period) Remote: Yes Willing to relocate: Yes (June 2026 and beyond) Technologies: Python, Rust, Elixir | Neo4j, Postgres, Redis, K8s | PyTorch, MLX, LoRA/QLoRA, Modal A100s, H100s | FastAPI, Phoenix, Rails Résumé/CV: https://linkedin.com/in/arthurcolle Email: arthur@distributed.systems Background: Deep knowledge of OpenAI, Anthropic + LLM APIs. Able to run models on GPUs and Apple Silicon unified memory. I have trained + deployed agentic coding, tool calling and multi-turn agent models in two prior roles. Building autonomous agent infrastructure. Currently run a small R&D shop (Distributed, Systems & Co.) doing distributed AGI and AI safety research. I am developing graphsub (graph substrate), a graph-native service mesh for agents, eval harnesses,
Read the rest
self-modifying DSLs. Before that: 4 years at Goldman Sachs deep in SecDB/Slang (the reactive dependency-graph system). I worked on collateralized mortgage obligations, on the interest rate products trading desk (as an engineer in the technology division), automated parts of the downstream IR-swap lifecycle and on CDS lifecycle management for novations and other lifecycle events. Had a hand in managing and working on our internal TriOptima notional compression cycles. I got promoted from tech into structuring. Series 7. Recent work: 15-service LLM stack (zero downtime across 98 deploys), fine-tuned Llama-3.1-8B (23% hallucination reduction), Rust daemons and TUIs. 3k+ GitHub contributions last year. OSS: agents.erl (BEAM-native cognition), https://github.com/arthurcolle/openai-mcp, fortitude (a framework for bootstrapping agents), https://github.com/arthurcolle/dspy.ex Looking for: AI labs, defense tech, or startups building agentic systems / foundation model infra / AI safety tooling. IC or research roles. I can run SFT and RL experiments, train models, and I'd love to be able to train agentic models and ideally with large GPU clusters. I have enjoyed these last two years, a focused period of building "agentic scaffolding" and scaling up multi-agent systems and if any of this sounds appealing to you, I can definitely be of some help to your org! GitHub: https://github.com/arthurcolle recent research publications: https://apartresearch.com/project/detecting-piecewise-cyber-...
In Ask HN: Who wants to be hired? (January 2026)
arthurcolle·Dec 2, 2025
Location: Washington, D.C. (open to relocation, but preference to initial remote period) Remote: Yes Willing to relocate: Yes (June 2026 and beyond) Technologies: Python, Rust, Elixir | Neo4j, Postgres, Redis, K8s | PyTorch, MLX, LoRA/QLoRA, Modal A100s, H100s | FastAPI, Phoenix, Rails Résumé/CV: https://linkedin.com/in/arthurcolle Email: arthur@distributed.systems Background: Deep knowledge of OpenAI, Anthropic + LLM APIs. Able to run models on GPUs and Apple Silicon unified memory. I have trained + deployed agentic coding, tool calling and multi-turn agent models in two prior roles. Building autonomous agent infrastructure. Currently run a small R&D shop (Distributed, Systems & Co.) doing distributed AGI and AI safety research. I am developing graphsub (graph substrate), a graph-native service mesh for agents, eval harnesses,
Read the rest
self-modifying DSLs. Before that: 4 years at Goldman Sachs deep in SecDB/Slang (the reactive dependency-graph system). I worked on collateralized mortgage obligations, on the interest rate products trading desk (as an engineer in the technology division), automated parts of the downstream IR-swap lifecycle and on CDS lifecycle management for novations and other lifecycle events. Had a hand in managing and working on our internal TriOptima notional compression cycles. I got promoted from tech into structuring. Series 7. Recent work: 15-service LLM stack (zero downtime across 98 deploys), fine-tuned Llama-3.1-8B (23% hallucination reduction), Rust daemons and TUIs. 3k+ GitHub contributions last year. OSS: agents.erl (BEAM-native cognition), https://github.com/arthurcolle/openai-mcp, fortitude (a framework for bootstrapping agents), https://github.com/arthurcolle/dspy.ex Looking for: AI labs, defense tech, or startups building agentic systems / foundation model infra / AI safety tooling. IC or research roles. I can run SFT and RL experiments, train models, and I'd love to be able to train agentic models and ideally with large GPU clusters. I have enjoyed these last two years, a focused period of building "agentic scaffolding" and scaling up multi-agent systems and if any of this sounds appealing to you, I can definitely be of some help to your org! GitHub: https://github.com/arthurcolle recent research publications: https://apartresearch.com/project/detecting-piecewise-cyber-...
In Ask HN: Who wants to be hired? (December 2025)

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