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 major security incident in the AI ecosystem, new agent tools, and deep dives into practical frameworks. The standout theme is the rising focus on AI Agent security and production-grade tooling, highlighted by the supply chain attack on LiteLLM and the launch of several enterp

AI Tech Daily - 2026-03-25

Today's report is dominated by the relentless march of AI agents. From new evaluation frameworks and self-improving "hyperagents" to major acquisitions and a flurry of new tools, the focus is squarely on making AI assistants more capable, autonomous, and integrated into our workflows. We also see si

AI Tech Daily - 2026-03-24

Today's report is dominated by the practical evolution of AI agents, from new frameworks and skills to critical infrastructure like sandboxing. The big picture shows a clear shift from theoretical agent concepts to production-ready systems and tools. We cover insights from blogs, a vibrant set of X/

AI Tech Daily - 2026-03-23

Today's report is dominated by the accelerating shift from AI models to embodied, autonomous agents. This trend is evident across major company strategies, developer tools, and trending open-source projects. We cover insights from 5 featured articles, 4 trending GitHub repos, and a rich collection o

AI Tech Daily - 2026-03-22

This week's recommendation systems research runs along three technical threads. First, Semantic ID-driven generative retrieval keeps gaining momentum. Spotify released two papers simultaneously — one deploys a SID system in production with A/B test results (new show discovery rate +14.3%), the other treats SID as a standalone modality unifying search, recommendation, and reasoning. Industrial SID systems have moved past "can this work?" into "how do we make it work better." Second, multimodal retrieval and representation compression: Apple delivered a production-grade unified retrieval architecture for text, images, and video; Aalto University distilled a 2B-parameter VLM into a 69M text encoder (50x latency reduction); POSTECH identified and fixed a modality collapse problem in VLM embedders for recommendation.

RecSys Weekly 2026-W12

Today's report is dominated by the rise of AI agents, from new platforms and frameworks to strategic industry moves. We cover major releases like Mistral Small 4 and Cursor Composer 2, deep dives into agent stability and RAG optimization, and strategic analysis of AI labs buying up developer tools. 

AI Tech Daily - 2026-03-21

If one word captures AI in 2026-W12, it is "infrastructure" — not the models themselves, but everything required to make them work in the real world. Simon Willison distilled a year's worth of scattered agent engineering lessons into a comprehensive pattern guide. Stratechery declared agents the third paradigm shift for large language models. OpenAI acquired both Promptfoo and Astral within ten days to close environment-management gaps in its coding agent stack. Stripe launched the Machine Payments Protocol (MPP) so agents can spend money autonomously. The entire industry is rapidly shifting from "what can agents do" to "how do agents run reliably, securely, and economically in production."

AI Weekly 2026-W12

Today's report is dominated by the theme of AI Agents in action, from their infrastructure and security to their practical applications in coding and finance. We see major moves from OpenAI and Google, alongside a surge in open-source tools for building and deploying agents. The conversation spans f

AI Tech Daily - 2026-03-20

Today's report is dominated by the relentless march of AI agents from prototype to production. From new frameworks and security concerns to practical evaluation guides, the focus is on making agents robust, safe, and useful. We also see major platform moves, like OpenAI's acquisition and significant

AI Tech Daily - 2026-03-19

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.