📅 Effect Days 2025 - Conference Schedule
This article provides the schedule for Effect Days 2025, a three-day conference featuring talks on AI agents, developer tools, Effect Cluster, error management, and real-world use cases. The schedule and speaker information is available via the provided link.
Key Points:
• Talks on AI Agents and DevTools.
• Presentations on Effect Cluster and Error Management.
• Real-world use cases from various companies.
• Three-day conference schedule available online.
🔗 Resources:
• Effect Days Schedule ↗ - Conference schedule
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✨ ApertureDB - Product Launch Success
This article summarizes the successful launch of ApertureDB Multimodal AI Workflows, reaching the #10 spot out of 193 products launched. The article expresses gratitude to supporters and highlights excitement for future use cases.
Key Points:
• ApertureDB Multimodal AI Workflows achieved #10 ranking.
• Successful launch driven by community support.
• Excitement for future applications of the workflows.
🔗 Resources:
🤖 BGA Connects / GDC - AI and Web3 Gaming Panels
This article summarizes the author's attendance at BGA Connects / GDC, focusing on two panels: "AI Agent, Telegram, Questing: The Evolution of Rewarded User Acquisition" and "Web3 Gaming: Collaboration over Competition."
Key Points:
• Attendance at BGA Connects / GDC in San Francisco.
• Participation in panels on AI agents and Web3 gaming.
• Focus on rewarded user acquisition and collaboration in Web3 gaming.
🔗 Resources:
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🤖 Codegen - AI-Powered Developer Agent
This article announces the general availability of Codegen, an AI-powered developer agent designed to improve engineering team workflows. It's built on Claude 3.7 and integrates with Slack, GitHub, and Linear.
Key Points:
• General availability of Codegen AI developer agent.
• Two years of development culminated in this release.
• Seamless integration with Slack, GitHub, and Linear.
🔗 Resources:
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🤖 Windsurf Tab - AI-Powered Code Prediction
This article discusses the vision and development of Windsurf Tab, an AI-powered code editor aiming to predict not only the next edit but also the user's next action. The fifth wave of development, Wave 5, represents a significant step towards this goal.
Key Points:
• Vision for Windsurf Tab to predict user's next action.
• Wave 5 represents a significant advancement.
• New approach to data modeling and training.
🤖 Windsurf Tab - Data Model and Infrastructure Improvements
This article details the technical challenges and breakthroughs achieved in developing Windsurf Tab's ability to predict user actions. The development involved creating a unique data model and improving infrastructure for training and serving the model.
Key Points:
• Development of a unique data model for training.
• Improvements in infrastructure for efficient training and serving.
• Resulting in a new autocomplete model and training paradigm.
💡 AI Evaluation - Online vs. Automated Methods
This article contrasts two approaches to evaluating AI models: automated methods like LLM-as-a-Judge and online evaluation using controlled experiments. The choice depends on whether the focus is on shipping code or optimizing for users and business goals.
Key Points:
• Automated methods (like LLM-as-a-Judge) for code-shipping optimization.
• Online evaluation with controlled experiments for user/business optimization.
• Online evaluation is crucial for user and business-focused AI optimization.
🔗 Resources:
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🤖 Windsurf Tab - Rethinking Code Prediction
This article focuses on the changes made to Windsurf Tab's data model to enable the prediction of a user's next action. The dataset now includes not only code but also user actions within the IDE.
Key Points:
• Expanded data model to include user actions beyond code.
• Inclusion of files, clipboard, terminal activity, and code writing.
• Comprehensive dataset for improved action prediction.
🚀 NVIDIA GTC - Together AI Booth and Speaker Information
This article announces Together AI's presence at NVIDIA GTC, highlighting a speaker session by co-founder and CTO, Ce Zhang, on accelerating inference on NVIDIA GPUs.
Key Points:
• Together AI presence at NVIDIA GTC booth #1332.
• Speaker session by Ce Zhang on accelerating inference.
• Additional information about a Founding VP speaker, Csris
🔗 Resources:
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🚀 Fireworks AI - Julian, the Voice Digital Worker
This article introduces Julian, a voice digital worker built for go-to-market teams. The announcement highlights the transformative potential of Julian for go-to-market strategies.
Key Points:
• Introduction of Julian, a voice digital worker.
• Designed for go-to-market teams.
• Aims to transform go-to-market strategies.
🔗 Resources:
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