144 related articles

One developer used AI (Claude/ChatGPT/Gemini) to build a multiplayer web ARPG in a month for a few hundred dollars. 877 users, 12 daily actives — here's the real story.

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.

A step-by-step guide to locally deploying the open-source Dify AI platform using the BT Panel on a VMware virtual machine—covering Ubuntu setup, Docker config, and image pull troubleshooting.

A step-by-step guide to locally deploying the Dify open-source AI platform using BT Panel on a VMware virtual machine, covering Ubuntu setup, Docker config, and image pull troubleshooting—beginner-friendly.

Full-stack developer transitioning to AI/ML? Compare Google, AWS, and Microsoft AI certifications, understand the two career paths, and learn what actually matters.

A 47-year-old engineer who pivoted to data science faces re-employment struggles — a mirror of AI-era anxiety: does using AI count as coding? How to break the midlife career trap?

A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.
Agentty: An 11MB Lightweight Claude Co…
Agentty is an open-source AI coding assistant written in C++26, compiling to just 11MB. Positioned as a drop-in alternative to Claude Code, it explores lightweight, native-first AI tooling.

Can online courses replace internships? We break down the real value of MLOps, Generative AI, and Deep Learning courses on Coursera, plus 3 strategies to get internship-level results.

A beginner's guide to Jenkins: its role as the CI/CD and DevOps hub, JDK requirements, and the four plugin categories (source control, build, security scanning, deployment) that power automation pipelines.

A clear, practical guide to CI/CD: from Waterfall to DevOps, manual vs. automated deployment, and a full Jenkins + RuoYi hands-on learning path for beginners.

A college student's MLOps 100-day challenge documents the full journey from Python engineering and Git to Docker, model deployment, and monitoring. A practical roadmap for data scientists transitioning to ML engineering.

Should you implement ML algorithms from scratch or just use sklearn? This guide breaks down the optimal learning path for ML engineers by career stage and company type.

A deep dive into Loop Engineering: how multi-agent collaborative dev systems achieve automated coding loops through workflow scheduling, step isolation, and validation.

Task routing is hailed as a silver bullet for LLM cost reduction, but routing strategy design, model training, and self-hosting each carry hidden engineering costs. This deep dive helps smaller teams evaluate ROI and offers a phased implementation path.

A deep dive into the three-layer AI Agent evaluation framework — outcome, process, and system layers — covering trajectory evaluation, tool call accuracy, automated testing, and key engineering challenges.
Production-Grade LangGraph Template: A…
A deep dive into production-grade LangGraph templates covering state management, observability, error handling, and containerized deployment to bridge the gap from demo to production.

Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.

Too much human approval kills efficiency; too little creates risk. This article provides a practical HITL framework covering reversibility, blast radius, data flow, and tiered thresholds to help teams balance safety and autonomy in AI Agent deployments.
Computer Vision Career Paths: A Guide …
Is Computer Vision worth pursuing as a career? This guide covers CV job market realities, master's vs. industry tradeoffs, edge deployment skills, and how to transition toward multimodal AI engineering.