Ask for Help

  • 🕵️‍♀️ Looking for Databricks/Snowflake users - Robert Hommes seeks companies struggling with augmenting human analyst workflows with AI, particularly those wasting time setting up notebooks for product analytics, fraud investigations, or regional deep dives. Contact: [email protected] or LinkedIn

Job Board

  • 🕹️ Gaming founding engineer opportunity - Former Balderton Capital GP and Google veteran building a gaming company are looking for a strong founding engineer passionate about gaming with AI/ML expertise (ideally computer vision). Role can be based in London, Paris, or hybrid. DM Margaux Wehr on Linkedin

Autonomous Agents

  • 🛠 Durable agent execution with Temporal - Pydantic AI and Temporal released a durable agent setup similar to what OpenAI used for Codex and deep research. 📰 Learn about durable execution (🙏 Robert Hommes @ Moyai.ai)

  • 🛎 PromptServer v1.0.0 released - Gabriel Olympie has built a simple backend server to serve Markdown prompts with full agentic and multimodal capabilities, production-ready and tested on thousands of queries per second. 📰 Explore PromptServer (🙏 Gabriel Olympie)

Language Models

  • 🧠 DeepSeek-V3.1 launched - First step toward the agent era featured hybrid inference with Think & Non-Think modes, faster thinking than DeepSeek-R1-0528, and stronger agent skills. The only model under 100B parameters in its performance tier. 🎞️ Announcement on X (🙏 Kevin Kuipers, Gabriel Olympie @ Reg.exe)

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Programming

  • 🛠 Claude Code alternatives emerging - New coding agent Amp gained traction among SF engineers as an alternative to Claude Code, promising autonomous reasoning and comprehensive code editing. 📰 Check out Amp (🙏 Robert Hommes)

  • 🥷 AI disclosure requirements for open source - GitHub's Ghostty project now required contributors to disclose AI tool usage in their submissions, reflecting growing concerns about AI-generated code quality. 📰 View the pull request (🙏 Robert Hommes)

Infrastructure

  • ⚙️ GitHub's AI-powered CI/CD revolution: Continuous AI and Agentic Workflows - GitHub Next introduced two groundbreaking projects exploring how AI agents can transform software development workflows.

    • Continuous AI (CAI) is a new category of AI-powered automation designed to support software collaboration, aiming to become a default layer in dev workflows like CI/CD. Tasks included auto-generating documentation, summarizing issues, suggesting better tests, and creating creative outputs from PR activity. 📰 Read about Continuous AI

    • Agentic Workflows is built on GitHub Actions and allows developers to describe intent in natural language (e.g., "scan coverage and add tests") and compile it into version-controlled workflows powered by LLMs like Claude or Codex. Concrete examples included auto-updating docs after code changes, personalized onboarding guides for new devs, accessibility checks with auto-raised PRs, security patches triggered by advisories, and continuous triage and summarization of issues. 📰 Agentic Workflows

    The projects also explored guardrails to manage risks like prompt injection or model drift, aiming for human review and traceability. (🙏 Thierry Abalea @ Shipfox)

Cyber

  • ⛓ SHA3 sponge function explained - Deep dive into SHA3 as the backup for SHA2, understanding how the sponge function worked and why it's ready if vulnerabilities are found in SHA2. 🎞️ Computerphile video (🙏 Kevin Kuipers @ Reg.exe)

Events

  • 🇳🇱 PyData fintech MCP event - August 26 at Mollie Amsterdam office featuring MCP server live-coding and feature selection data hacks. Register for the meetup (🙏 Robert Hommes)

From a Fintech lens: MCP server live-coding & feature selection data hacks

Geographic Hubs

🇺🇸 San Francisco

  • 🏐 Community meetups and connections - Robert Hommes (Moyai.ai) and Benjamin Trom (Mistral AI) enjoyed some volleyball activities. Philippe Mizrahi (Linkup) was at the AWS Startup Loft.

🇯🇵 Tokyo

  • 🍣 Sushi meetup with 2501.ai - Alex Pereira and Alex Zhuk from 2501.ai enjoyed traditional sushi in Tokyo with Kevin Kuipers.