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Hashtag Jakarta EE #336

 💡Recommender system
agilejava.eu·

Elastic brings AI-driven incident investigation to Kubernetes and observability tools

 💡Recommender system
helpnetsecurity.com·

AI context windows: Why context quality beats context size

 💡Recommender system  Content type: Blog
redis.io·

Private Information Retrieval: Share Conversions vs. Decoding Polynomials

 🗄️Knowledge Base Systems
eprint.iacr.org·

Bringing a dead Spring Boot project back to life with Claude

 🗄️Knowledge Base Systems

Zero-Downtime Modernization: Norwegian Labor and Welfare Administration’s Path to Open Source Observability with OpenSearch

 🗄️Knowledge Base Systems
opensearch.org·

A PubMed-Scale Dataset of Structured Biomedical Abstracts

 🗄️Knowledge Base Systems  Content type: Academic
arxiv.org·

New comment by curiouser12 in "Ask HN: Who wants to be hired? (June 2026)"

 🚀Career Development

Location: Charleston, SC Remote: Yes Willing to relocate: Yes Technologies: Ruby...

 💡Recommender system  Content type: Discussion

hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.

 🗄️Knowledge Base Systems  Content type: Code
github.com··Hacker News

Agentic search - retrieval, harness, or model?

 🗄️Knowledge Base Systems  Content type: Blog

Synology DSM 7.4 – The Good, the Bad and the AI (DSM 8.0 Lite?)

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nascompares.com·

Presentation: Architecting a Centralized Platform for Data Deletion at Netflix

 Clean code
infoq.com
·

Dynamic ReACT Loop with Conductor

 Clean code

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 💡Recommender system  Content type: Blog
elastic.co·

Cloudian closes gap between enterprise AI ambitions and messy production deployments

 🗄️Knowledge Base Systems  Content type: News
blocksandfiles.com·

How to Set Up Codebase Indexing in Kilo Code

 🤖LLM  Content type: News  Content type: Blog
blog.kilo.ai·

Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

 🗄️Knowledge Base Systems  Content type: News
infoq.com
·

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

 🤖LLM

Async Rust Meets Async Python: How Daft runs... by Colin Ho, Srinivas Lade

 Clean code  Content type: Video
youtube.com·

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