From context management to harness design, 10 practical habits that eliminate context rot and dramatically improve your coding agent's success rate.

10 Simple Habits That Double Your Claude Code Success Rate

AI agents write code fast, but ML experiments operate on a different timescale — real verification takes days or weeks. One implementation bug can invalidate a promising research direction. One unsaved checkpoint wastes days of training. Superpowers-ML extends software engineering discipline into ML through a four-layer Validation Pyramid that catches problems in minutes, plus a Watchdog system for long-running training — making every attempt count.

Superpowers-ML: Harness Engineering for ML Experiments

This isn't about tools or techniques — it's about the mental model. Vibe Coding is essentially managing Agents, and managing Agents is essentially managing teams. From context rot to organizational architecture, the parallels between leading a team and orchestrating AI agents reveal why the best vibe coders think like managers, not programmers.

The Mental Model of Vibe Coding: Managing Agents Like Managing Teams

Today's report covers a surge in agentic engineering and practical AI tooling, with deep dives from major players like Anthropic and Meta. The standout trend is the rapid maturation of AI agents, moving from simple chatbots to complex, autonomous systems that manage long-running workflows and integr

AI Tech Daily - 2026-03-18

Today's report is dominated by the theme of Agentic AI, from foundational tutorials to enterprise strategy and real-world applications. The buzz from NVIDIA's GTC conference and a flurry of new tools on X/Twitter highlight a clear industry shift: AI is moving from a passive tool to an active, orches

AI Tech Daily - 2026-03-17

Today's report is dominated by the rise of AI agents, from foundational definitions to real-world applications and security concerns. We cover insights from blogs, a flurry of X/Twitter activity, and trending GitHub projects that are shaping this new paradigm. The standout trend is the maturation of

AI Tech Daily - 2026-03-16

Today's report dives into the accelerating world of AI agents, from practical engineering workflows to global policy moves. We cover insights from blogs, a surge of open-source projects on GitHub, and key discussions from X/Twitter. The dominant theme is the maturation of agentic systems, moving bey

AI Tech Daily - 2026-03-15

Two technical threads dominate Week 11 of 2026 (March 8–14) in recommendation system research. First, generative recommendation (GR) is undergoing full-stack optimization — transitioning from "making it work" to "making it work well, fast, and fairly" — Netflix/Meta's exponential reward-weighted SFT addresses post-training alignment, LinkedIn's causal attention reformulation halves sequence length, Kuaishou's FP8 quantization reduces OneRec-V2 inference latency by 49%, and Alibaba's differentiable geometric indexing eliminates long-tail bias at its root. Five papers advance GR's industrial maturity across five dimensions. Second, LLM-based recommendation is shifting from "single-pass inference" toward an agentic paradigm — Meta's VRec inserts verification steps into reasoning chains, Meituan's RecPilot replaces traditional recommendation lists with a multi-agent framework, USTC's TriRec introduces tri-party coordination for the first time, and RUC/JD's RecThinker enables autonomous tool invocation.

RecSys Weekly 2026-W11

Today's report covers a surge in AI agent infrastructure and tooling, with major updates from Anthropic, Replit, and a wave of open-source browser agents. The trend is clear: the focus is shifting from raw model capability to building robust, efficient, and collaborative agent systems. We have 5 fea

AI Tech Daily - 2026-03-14

Today's report is dominated by the rise of Agentic AI, with major players like Microsoft, Google, and Anthropic releasing new frameworks and tools for building, debugging, and deploying AI agents. We also see deep dives into the infrastructure powering this shift, from TPU hardware to next-gen retri

AI Tech Daily - 2026-03-13

Industrial recommendation ranking shifts to systematic scaling engineering. Alibaba's SORT achieves orders +6.35%, Kuaishou's FlashEvaluator and SOLAR optimize evaluator and attention efficiency, ByteDance's HAP enables adaptive compute budget allocation. Generative recommendation enters objective alignment phase. 36 papers analyzed.

Recsys Weekly 2026-W10

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1. Why Anthropic Thinks AI Should Have Its Own Computer — Felix Rieseberg of Claude Cowork & Claude Code Desktop

3. Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation

4. GPT-5.4 mini and GPT-5.4 nano, which can describe 76,000 photos for $52

5. State of Open Source on Hugging Face: Spring 2026

Why Anthropic Thinks AI Should Have Its Own Computer — Felix Rieseberg of Claude Cowork & Claude Code Desktop

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分享推荐系统的技术理解，追踪推荐系统的前沿动态·