#token tracking
740 related articles
·3 min
DeepSeek Harness and the Codis Architecture Explained: Agent Development Enters the Plugin Era
DeepSeek Harness broke GitHub Star velocity records on launch. Its Codis architecture turns Agent development from reinventing the wheel into plugin-based assembly, drastically lowering the barrier for vertical domain Agents.
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·4 min
AI Agent Architecture Explained: Four Core Modules and the Complete Path to Production
Deep dive into AI Agent architecture: Memory, Planning, Tools, and Action. Learn how Agents differ from plain LLMs, understand the ReAct decision loop, and build a practical framework for Agent development.
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·4 min
AI Agent Ecosystem Weekly: Harness Plugin Explosion, GLM 5.3 Guardrail Controversy & Stripe's OpenRouter Acquisition
Deep analysis of three key AI events: Harness plugin ecosystem explosion, GLM 5.3 safety guardrail controversy, and Stripe's $7.5B acquisition of OpenRouter for Agent payment infrastructure.
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·2 min
Flunkey: An In-Depth Look at the Voice-First AI Tool for Windows and Its Use Cases
In-depth analysis of Flunkey, a voice-first AI productivity tool for Windows — covering core features, Wispr Flow comparison, target users, and the future of voice-driven AI interaction.
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·3 min
The End of AI Hallucinations? When Bard Learned to Say "I Don't Know"
When Google Bard first answered "I don't know," it sparked deep discussion about AI hallucination, LLM honesty, and calibration. Explore how RLHF alignment training is making AI more trustworthy.
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·3 min
Complete Guide to Connecting Third-Party Models in Cursor: Breaking Free from Vendor Lock-In
Learn how to connect third-party AI models in Cursor via Fireworks.ai, OpenRouter, and custom OpenAI-compatible endpoints to reduce costs and avoid vendor lock-in.
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·4 min
How to Find Research Gaps in ML/LLM/CV: A Systematic Methodology and Direction Guide
A systematic guide to identifying research gaps in ML, LLMs, and CV—covering paper reading techniques, reproduction-driven discovery, promising directions, and practical team advice.
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·3 min
Diffusion Language Models: Principles, Advantages, and Developer Practice Guide
A deep dive into Diffusion Language Models (DLMs): how they work, advantages over autoregressive models, continuous vs. discrete diffusion, training and inference pipelines, and developer practice guide.
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·4 min
AWS Video Analysis Pipeline Architecture: A Practical Guide to Object Tracking and Long-Term Memory
A deep dive into an AWS-based video analysis pipeline covering S3, SQS, ECS GPU Workers, object tracking (YOLO+ByteTrack), VLM analysis, and pgvector long-term memory retrieval.
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·3 min
Making LLMs Draw a Clock: The Real Boundaries of AI Spatial Reasoning
Testing different LLMs on drawing clocks with a brush tool reveals AI's spatial reasoning limits and how Moravec's Paradox persists in the age of large models.
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·2 min
ipatool: A Powerful Open-Source Command-Line Tool for Downloading App Store IPA Packages
ipatool is an open-source CLI tool written in Go for searching and downloading App Store IPA packages across iOS, iPadOS, tvOS, and visionOS platforms.
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·3 min
AI Programming in Practice: The Complete Workflow from Zero to Deployment with Claude Code + Codex
A deep dive into practical AI programming with Claude Code, Codex & Vibe Coding — covering Brainstorming, collaborative debugging, and plugin development from zero to deployment.
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·3 min
Agent Observability: Why Traditional Monitoring Falls Short and Practical Solutions
Explore why traditional monitoring (latency, drift, accuracy) fails for AI agents, and learn practical solutions using LangFuse, LangSmith, and OpenTelemetry.
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·3 min
Google's SKILL.state Paper Explained: Replacing History with State to Save Agents 94% of Tokens
Google's SKILL.state method replaces full conversation history with structured state, cutting Agent token usage from 1.1M to 65K (94% reduction) in 100-step benchmarks while maintaining accuracy.
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·5 min
AI Agent Skill Stack Fully Decoded: Building Professional Agents with 16 Pluggable Skills
Deep dive into 16 practical AI Agent Skills covering code review, evals, frontend design, communication, memory, and automation — revealing the modular methodology behind Agent engineering.
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·3 min
Anthropic's "Make Money Button": Why the AI Monetization Opportunity Falls Flat for Small Developers
An Anthropic employee suggested a "money button" exists in AI, but it mainly works for established businesses. This article analyzes the trust, payment, and discovery gaps blocking indie developers.
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·3 min
DeepMind Partners with Fenris Creations: Tackling AI's Continual Learning Challenge Through Living Game Universes
DeepMind partners with Fenris Creations to use living persistent game universes to tackle four frontier AI challenges: continual learning, deep memory, long-horizon planning, and multi-agent dynamics.
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·3 min
OpenViking: A Self-Evolving Context Database Unifying Memory, Knowledge, and Skills for AI Agents
Deep dive into Volcengine's open-source OpenViking — a self-evolving context database unifying Agent Memory, Knowledge RAG, and Skills, with nearly 29K GitHub Stars.
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·4 min
How Sparse Attention Papers Sugarcoat Their Results: Four Common Tricks Exposed
Deep dive into how sparse attention and KV Cache compression papers sugarcoat experiments — cherry-picked tasks, unfair baselines, hidden failures, and more.
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·4 min
The Complete Guide to Pi Coding Agent: A Minimalist Open-Source Model Agent Framework
Learn how Pi Coding Agent became the top choice for running open-source models like GLM 5.2 and Kimi K3, with setup guide and three must-have extensions.
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