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#aiengineering — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aiengineering, aggregated by home.social.

  1. Everybody loves a token chart. I care more about the app that boots.

    This piece looks at a small Quarkus Agent MCP test thread and the part I think matters most: skills pay off when they cut wrong turns, retries, and stale framework guesses.

    the-main-thread.com/p/quarkus-

    #Quarkus #Java #MCP #AIEngineering

  2. Everybody loves a token chart. I care more about the app that boots.

    This piece looks at a small Quarkus Agent MCP test thread and the part I think matters most: skills pay off when they cut wrong turns, retries, and stale framework guesses.

    the-main-thread.com/p/quarkus-

    #Quarkus #Java #MCP #AIEngineering

  3. Everybody loves a token chart. I care more about the app that boots.

    This piece looks at a small Quarkus Agent MCP test thread and the part I think matters most: skills pay off when they cut wrong turns, retries, and stale framework guesses.

    the-main-thread.com/p/quarkus-

    #Quarkus #Java #MCP #AIEngineering

  4. Everybody loves a token chart. I care more about the app that boots.

    This piece looks at a small Quarkus Agent MCP test thread and the part I think matters most: skills pay off when they cut wrong turns, retries, and stale framework guesses.

    the-main-thread.com/p/quarkus-

    #Quarkus #Java #MCP #AIEngineering

  5. Everybody loves a token chart. I care more about the app that boots.

    This piece looks at a small Quarkus Agent MCP test thread and the part I think matters most: skills pay off when they cut wrong turns, retries, and stale framework guesses.

    the-main-thread.com/p/quarkus-

    #Quarkus #Java #MCP #AIEngineering

  6. Agent names are not a routing strategy.

    This walkthrough builds a Quarkus + LangChain4j sample that uses filesystem Skills to make ownership explicit, keeps a baseline supervisor for comparison, and proves the routing with HTTP tests.

    the-main-thread.com/p/agent-sk

    #Quarkus #LangChain4j #Java #AIEngineering

  7. Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.

    Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.

    Open source under the PostgreSQL License.

    📥 pgedge.com/download/ai-dba-wor

    #postgres #postgresql #dba #monitoring #aiengineering #opensource

  8. Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.

    Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.

    Open source under the PostgreSQL License.

    📥 pgedge.com/download/ai-dba-wor

    #postgres #postgresql #dba #monitoring #aiengineering #opensource

  9. Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.

    Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.

    Open source under the PostgreSQL License.

    📥 pgedge.com/download/ai-dba-wor

    #postgres #postgresql #dba #monitoring #aiengineering #opensource

  10. Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.

    Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.

    Open source under the PostgreSQL License.

    📥 pgedge.com/download/ai-dba-wor

    #postgres #postgresql #dba #monitoring #aiengineering #opensource

  11. ... (continuing)

    The study also revealed that coding is not the primary bottleneck. Meetings, interruptions, and slow CI/CD cost developers more time than AI saves. Nonetheless some organisations try to use AI to compensate, rather than fixing root cultural issues.

    If you want to step back and reflect on how to achieve actual productivity gains with AI-Assisted coding, read this post => smharter.com/blog/2025/09/01/a

    #AI #LLMs #GenerativeAI
    #AIAssistedCoding #AICoding #VibeCoding
    #AIEngineering

  12. ==============================
    AI PRODUCTIVITY, HYPE VS REALITY
    ==============================

    => MASTERY IN SOCIO-TECH PRACTICES REMAINS A NECESSARY FOUNDATION TO BENEFIT FROM AI-ASSISTED CODING

    A new and recent study (linked in the post, as points 3 & 3.1) shows that productivity gains from AI-Assisted coding are lower than expected, with instances of productivity loss... (contiue)

    #AI #LLMs #GenerativeAI
    #AIAssistedCoding #AICoding #VibeCoding
    #AIEngineering

  13. AI Should Raise the Bar, Not Lower It

    AI can speed up the right kind of work, but it also has a talent for scaling whatever standards you bring to it. Used well, it helps careful engineers move faster; used badly, it turns half-baked thinking into a much more efficient mess.

    jsynowiec.github.io/posts/ai-s

    #AI #generativeAI #AIEngineering #AIAssistant #OpenClaw #Claude #musing #genai #HermesAgent #softwareEngineering #CriticalThinking #DeepWork

  14. Postgres Meetup for All: a virtual meetup for #PostgreSQL users no matter where you are 🌏

    Coming up next, Dave Page presents "Open-Source Tools for Postgres & AI" 5/12 at 9 AM PDT. He'll be exploring our #OpenSource Agentic AI Toolkit. 🤖

    Designed to connect #Postgres to #AI agents in a secure, reliable, and enterprise-ready manner no matter where you deploy.

    Register free on Meetup. 📆 meetup.com/postgres-meetup-for

    #aiengineering #aiprogramming #aidev

  15. Postgres Meetup for All: a virtual meetup for #PostgreSQL users no matter where you are 🌏

    Coming up next, Dave Page presents "Open-Source Tools for Postgres & AI" 5/12 at 9 AM PDT. He'll be exploring our #OpenSource Agentic AI Toolkit. 🤖

    Designed to connect #Postgres to #AI agents in a secure, reliable, and enterprise-ready manner no matter where you deploy.

    Register free on Meetup. 📆 meetup.com/postgres-meetup-for

    #aiengineering #aiprogramming #aidev

  16. Postgres Meetup for All: a virtual meetup for #PostgreSQL users no matter where you are 🌏

    Coming up next, Dave Page presents "Open-Source Tools for Postgres & AI" 5/12 at 9 AM PDT. He'll be exploring our #OpenSource Agentic AI Toolkit. 🤖

    Designed to connect #Postgres to #AI agents in a secure, reliable, and enterprise-ready manner no matter where you deploy.

    Register free on Meetup. 📆 meetup.com/postgres-meetup-for

    #aiengineering #aiprogramming #aidev

  17. Postgres Meetup for All: a virtual meetup for #PostgreSQL users no matter where you are 🌏

    Coming up next, Dave Page presents "Open-Source Tools for Postgres & AI" 5/12 at 9 AM PDT. He'll be exploring our #OpenSource Agentic AI Toolkit. 🤖

    Designed to connect #Postgres to #AI agents in a secure, reliable, and enterprise-ready manner no matter where you deploy.

    Register free on Meetup. 📆 meetup.com/postgres-meetup-for

    #aiengineering #aiprogramming #aidev

  18. Postgres Meetup for All: a virtual meetup for #PostgreSQL users no matter where you are 🌏

    Coming up next, Dave Page presents "Open-Source Tools for Postgres & AI" 5/12 at 9 AM PDT. He'll be exploring our #OpenSource Agentic AI Toolkit. 🤖

    Designed to connect #Postgres to #AI agents in a secure, reliable, and enterprise-ready manner no matter where you deploy.

    Register free on Meetup. 📆 meetup.com/postgres-meetup-for

    #aiengineering #aiprogramming #aidev

  19. Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

  20. Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

  21. Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

  22. Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

  23. Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

  24. 🎙️ Builders. Practitioners. Researchers. Thought leaders. If you're shaping the future of AI, Observe 26 wants YOU on stage.

    We're looking for voices working on LLM evaluation, AI agents, observability, and shipping AI to production.

    Observe 2026 | June 4 | Shack15, San Francisco

    Apply to speak 👇
    docs.google.com/forms/d/e/1FAI

  25. Most teams don’t start from scratch.

    They have a working Quarkus app. Repositories. Services. REST endpoints. Production traffic.

    In our latest episode, Alex Soto shows how to use IBM Bob to add LangChain4j to an existing Quarkus application — step by step, no rewrite.

    It’s about controlled AI integration. Not hype.

    Full article:
    the-main-thread.com/p/from-sta

    #Java #Quarkus #LangChain4j #AIEngineering #EnterpriseJava #DevExperience

  26. The Agentic AI Foundation was founded this past December by the Linux Foundation to provide "a neutral, open foundation to ensure agentic AI evolves transparently and collaboratively, [in] ways that advance the adoption of leading open source AI projects." 🌍

    We're proud to be a part of that mission here at pgEdge as one of the newest members to the foundation.

    ⭐ Learn more about the #AAIF: aaif.io

    #agenticai #linux #openai #opensourceai #aiengineering #devcommunity #aidev

  27. We’re excited to share that pgEdge is now a Silver Member of the Agentic AI Foundation!

    Joining this forward-thinking community reinforces our commitment to advancing responsible, open, and collaborative standards in agentic AI. Together with innovators across the industry, we’re helping shape the future of AI that’s safe, transparent, and impactful.

    Read more in the press release aaif.io/press/agentic-ai-found

    #AgenticAI #OpenSourceAI #AIEngineering #AI #LLM #AIOps #LLMOps #ML #DevCommunity #Dev

  28. We’re excited to share that pgEdge is now a Silver Member of the Agentic AI Foundation!

    Joining this forward-thinking community reinforces our commitment to advancing responsible, open, and collaborative standards in agentic AI. Together with innovators across the industry, we’re helping shape the future of AI that’s safe, transparent, and impactful.

    Read more in the press release aaif.io/press/agentic-ai-found

    #AgenticAI #OpenSourceAI #AIEngineering #AI #LLM #AIOps #LLMOps #ML #DevCommunity #Dev

  29. We’re excited to share that pgEdge is now a Silver Member of the Agentic AI Foundation!

    Joining this forward-thinking community reinforces our commitment to advancing responsible, open, and collaborative standards in agentic AI. Together with innovators across the industry, we’re helping shape the future of AI that’s safe, transparent, and impactful.

    Read more in the press release aaif.io/press/agentic-ai-found

    #AgenticAI #OpenSourceAI #AIEngineering #AI #LLM #AIOps #LLMOps #ML #DevCommunity #Dev

  30. Theo describes the feeling that I've had about AGENTS.md quite well.

    TL;DR - generated rules are more likely to have a negative effect rather than no rules. Not considering cases where the actual repo structure starts diverging from the documented one in AGENTS.md.

    Delete your CLAUDE.md (and your AGENT.md too)
    youtube.com/watch?v=GcNu6wrLTJ

    #AIEngineering #agentsmd

  31. AG (Retrieval Augmented Generation) is the solution. Here's how to build your own RAG server from scratch using ollama, Open WebUI and Chroma DB!

    ✅ Document processing ✅ Vector embeddings ✅ Smart retrieval ✅ Production-ready API

    Tutorial 👉 medium.com/@chribonn/how-to-cr

    #RetrievalAugmentedGeneration #RAG #AIEngineering #LLM #Python #TTMO #OpenSource #AI

  32. Did you know our open source Natural Language Agent includes a web-based chat interface for interacting with your #PostgreSQL database using natural language queries?

    ➡️ Check out the full walkthrough on how to use it and what features are available, here: docs.pgedge.com/pgedge-postgre

    Don't forget to star the repository to keep track of new releases as they become available ⭐ github.com/pgEdge/pgedge-postg

    #postgres #dba #devops #mcp #ai #llm #llmops #aidevelopment #aiengineering #claude #openai #ollama

  33. Did you know our open source Natural Language Agent includes a web-based chat interface for interacting with your #PostgreSQL database using natural language queries?

    ➡️ Check out the full walkthrough on how to use it and what features are available, here: docs.pgedge.com/pgedge-postgre

    Don't forget to star the repository to keep track of new releases as they become available ⭐ github.com/pgEdge/pgedge-postg

    #postgres #dba #devops #mcp #ai #llm #llmops #aidevelopment #aiengineering #claude #openai #ollama

  34. Did you know our open source Natural Language Agent includes a web-based chat interface for interacting with your #PostgreSQL database using natural language queries?

    ➡️ Check out the full walkthrough on how to use it and what features are available, here: docs.pgedge.com/pgedge-postgre

    Don't forget to star the repository to keep track of new releases as they become available ⭐ github.com/pgEdge/pgedge-postg

    #postgres #dba #devops #mcp #ai #llm #llmops #aidevelopment #aiengineering #claude #openai #ollama

  35. Did you know our open source Natural Language Agent includes a web-based chat interface for interacting with your #PostgreSQL database using natural language queries?

    ➡️ Check out the full walkthrough on how to use it and what features are available, here: docs.pgedge.com/pgedge-postgre

    Don't forget to star the repository to keep track of new releases as they become available ⭐ github.com/pgEdge/pgedge-postg

    #postgres #dba #devops #mcp #ai #llm #llmops #aidevelopment #aiengineering #claude #openai #ollama

  36. RAG (Retrieval Augmented Generation) is the solution. Here's how to build your own RAG server from scratch using ollama, Open WebUI and Chroma DB!

    ✅ Document processing ✅ Vector embeddings ✅ Smart retrieval ✅ Production-ready API

    alanbonnici.com/2026/02/how-to

    #RetrievalAugmentedGeneration #RAG #AIEngineering #LLM #Python #TTMO #OpenSource #AI

  37. PAIO has been introduced as a personal AI operator built on Clawdbot (now Moltbot), targeting ease of deployment for non-technical users.

    The stated goal is rapid setup without weakening security posture - a recurring challenge in AI tooling. Early access is being offered while the platform gains initial adoption.

    Source: x.com/PureVPNcom/status/201694

    💬 From a security standpoint, what controls matter most in AI operator platforms?
    ➕ Follow technadu for vendor-neutral AI and infosec analysis.

    #Infosec #AIInfrastructure #AIOps #SecurityArchitecture #Automation #TechNadu #AIEngineering

  38. ================================
    6 AI-assisted coding traps that kill productivity
    ================================
    On how to identify the hidden productivity traps of AI-assisted coding, and the practical steps to avoid them => smharter.com/blog/2026/02/03/6

    Which productivity traps have you experienced so far? How do you spot and avoid them?

    #AI #LLMs #GenerativeAI
    #AIAssistedCoding #AICoding #VibeCoding
    #AIEngineering

  39. Actual screen grabs from llmtrader.io

    Not mockups. Not Figma. Real system interfaces, captured pre-tokenization.

    llmtrader.io treats LLMs as infrastructure.
    Models reason over market structure and risk inside constrained systems.

    Not “AI predicts price.”
    LLMs assist with hypotheses, trade justification, and post-mortems.

    Built in public. Real artifacts only.

    Next up: #hvmeAI

    cc
    @karpathy

    @[email protected]

    @vbuterin

    @aantonop

    #LLM #CryptoAI #Web3 #TradingSystems #AIEngineering #DeFi

  40. ... continuing

    While the AI agent certainly accelerated my learning and helped me validate my understanding and the impact of my high-level decisions (on tech quality, product design, and business impact), the responsibility for every final decision rested with me as part of the "human review and verification" step.

    continue ...

    #AI #LLMs #GenerativeAI #Agents
    #CodingAgents #AIAssistedCoding
    #AIEngineering #PromptEngineering #AICoding

  41. The first #PostgreSQL #Edinburgh meetup was a success! Did you miss @vyruss delivering RAGTime with Postgres?

    His comprehensive slides on learning about AI power with pgvector and Retrieval-Augmented Generation can be found here:

    vyruss.org/computing/slides/po

    cc @PostgresEDI

    #postgres #ai #aiops #llmops #llm #aiengineering #programming #opensource #tech #dev #devcommunity

  42. The first #PostgreSQL #Edinburgh meetup was a success! Did you miss @vyruss delivering RAGTime with Postgres?

    His comprehensive slides on learning about AI power with pgvector and Retrieval-Augmented Generation can be found here:

    vyruss.org/computing/slides/po

    cc @PostgresEDI

    #postgres #ai #aiops #llmops #llm #aiengineering #programming #opensource #tech #dev #devcommunity

  43. The first #PostgreSQL #Edinburgh meetup was a success! Did you miss @vyruss delivering RAGTime with Postgres?

    His comprehensive slides on learning about AI power with pgvector and Retrieval-Augmented Generation can be found here:

    vyruss.org/computing/slides/po

    cc @PostgresEDI

    #postgres #ai #aiops #llmops #llm #aiengineering #programming #opensource #tech #dev #devcommunity

  44. When You Need Clustering or SVM Developers for ML Projects

    Not sure when your ML project requires expert help? Clustering specialists and SVM developers can make a huge difference when working with complex datasets, uncovering hidden patterns, or building high-accuracy predictive models.

    📌 Read the full article on the Amplework blog: amplework.com/blog/when-you-ne

    #MachineLearning #Clustering #SVM #DataScienceExperts #MLProjects #AIEngineering #PredictiveModels #ScalableML #AIDevelopment

  45. AWS & HashiCorp's natural language cloud tools promise productivity but risk security vulnerabilities (MITM) and engineering deskilling. Transparency & security are critical.

    saysomething.hashnode.dev/natu

  46. 🧠 5,000 AI agent failures.
    🔁 42% now predicted before they happen.
    📉 Downtime slashed by 57%.

    Discover how agentic AI systems are evolving to forecast their own breakdowns—before executing a single action. A system-aware cognitive loop could be the future of intelligent decision-making.

    👉 Read Now:
    medium.com/@rogt.x1997/5-000-f

    #AI #AgenticAI #LLM #PredictiveAnalytics #FailureForecasting #CognitiveSystems #AIEngineering #MLOps #AIAgents
    medium.com/@rogt.x1997/5-000-f

  47. You think only Python can do #AI? Think again. Timo Salm reveals a #Java power move for #GenAI that flips the game. The twist? It actually works. Discover the #SpringAI surprise

    👇javapro.io/2025/04/22/building

    @springcentral #LLM #CloudAI #SpringBoot #AIApplications #AIEngineering

  48. ✔What is AI Engineering and the Role of an AI Engineer in Designing Artificial Intelligence
    Responsibilities and Skills of an AI Engineer: They must be able to build AI models from scratch and give a clear understanding of them.  Testing these models is crucial.
    For More Information
    📕Read- cybrpro.com/ai-engineer-in-des
    and get insights
    #AIEngineering #ArtificialIntelligence #AIProjects #EngineeringCareers