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Articles — Aug 2026

Guides, comparisons and deep-dives on building, shipping and running AI agents in TypeScript.

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Aug 13, 2026

7 Best AI Calendar Assistants in 2026

AI calendar assistants automate schedule planning and time management, and they split into booking and routing tools, conversational schedulers, calendar optimizers, task planners and meeting-workflow assistants. This piece compares seven of them and the features each one offers.

Sam BhagwatUse Cases
Aug 13, 2026

6 Best AI Code Review Tools for Pull Requests in 2026

An AI code review tool examines source changes and reports possible defects, security problems, policy violations or missed requirements. This piece ranks six of them by how well they understand code beyond the diff and how much control a team keeps over the review.

Sam BhagwatCoding Agents
Aug 12, 2026

6 Best Vibe Coding Platforms in 2026

Vibe coding platforms all turn a prompt into a working application, so the useful differences sit elsewhere. This piece compares six of them on build scope, planning workflow, backend and hosting, native mobile output, code ownership, testing and recovery, and cost.

Aron SchuhmannComparisons
Aug 12, 2026

6 Best Zapier Alternatives in 2026

Zapier handles most deterministic automation well, but agentic and non-deterministic work exposes gaps such as per-user authorization, inspectable branching and deployment control. This piece covers six alternatives, each the strongest answer to one of those requirements.

Sam BhagwatComparisons
Aug 11, 2026

AI agents for business: what they automate, where they fail

Learn what AI agents for business can reliably automate, where they fall short, how to deploy them safely, and how to test agents in production.

Aron SchuhmannUse Cases
Aug 11, 2026

Best AI tools for business in 2026: tested and ranked

Compare the best AI tools for business by category, from chatbots and analytics to agent frameworks, with honest strengths, trade-offs, and pricing.

Aron SchuhmannUse Cases
Aug 10, 2026

The AI agent stack: layers, tools, and how to build in 2026

A developer’s guide to the AI agent stack in 2026: models, tools, memory, frameworks, evals, guardrails, and deployment, with real tradeoffs at each layer.

Aron SchuhmannTools & Integrations
Aug 10, 2026

LLM as a judge: how to evaluate LLM and agent outputs at scale

Learn what LLM as a judge is, how to build a reliable LLM judge, avoid bias, and evaluate agent outputs at scale with prompting and calibration methods.

Aron SchuhmannEvals
Aug 9, 2026

Agent builder: how to build, test, and deploy AI agents

Learn what an AI agent builder is, the core building blocks of an AI agent, and how to build, test, and deploy your first agent to production.

Aron SchuhmannAgents
Aug 9, 2026

AI agents news: latest developments, adoption trends, and what’s next

AI agents news, adoption trends, use cases, and production challenges. Learn where agentic AI stands and what developers should watch next.

Aron SchuhmannCompany
Aug 8, 2026

CrewAI multi-agent framework: architecture and use

Learn how the CrewAI multi-agent framework works, how to build and test crews, and how to run production multi-agent systems.

Aron SchuhmannMulti-agent
Aug 8, 2026

Your open source LLM guide for 2026: models, benefits, and deployment

Compare the best open source LLM models in 2026, how licensing works, deployment tradeoffs, and how to evaluate and run open models in production.

Aron SchuhmannModels & Routing
Aug 7, 2026

Context engineering for AI agents: a practical guide

Learn what context engineering is, how it differs from prompt engineering, and the strategies for managing context in production agent systems.

Aron SchuhmannPrompting & Context
Aug 7, 2026

Generative AI models: types and how they work

Learn what generative AI models are, the main types of generative AI models, how they work, and how to build and evaluate them in TypeScript.

Aron SchuhmannModels & Routing
Aug 6, 2026

Generative AI tools: what they are and how they work

Explore the main types of generative AI tools, real examples like ChatGPT and Gemini, and how developers build production apps with models, RAG, and evals

Aron SchuhmannModels & Routing

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