A current LiteLLM and Portkey comparison covering licenses, managed pricing, fallback, routing, logs, cost controls, and self-hosting tradeoffs.
Article list
A task-based comparison of DeepSeek and ChatGPT/OpenAI for builders: API cost, workspace needs, coding workflows, risk, and fallback.
A builder workflow for using the DeepSeek API: official access, model names, pricing, first task, cost checks, fallback, and review.
A practical evaluation flow for Kimi Code CLI and IDE use: install path, permissions, diffs, tests, rollback, and when to stop.
A builder-focused guide to Kimi pricing, API access, model choice, free-tier claims, and when not to switch yet.
A 15-minute developer-first workflow for handling AI updates, including a worked example from provider changelog to docs to GitHub release to final de...
A builder-first playbook for reordering AI news feeds by source trust, action value, and workflow role, with a before/after example and a concrete fai...
A builder-first guide to whether an AI news app is worth installing, with a decision matrix, two concrete scenarios, and explicit uninstall rules.
A builder workflow for tracking China AI model releases through official docs, repos, model cards, and RadarAI routing.
A decision workflow for using AI updates pages without doomscrolling.
A practical Kimi Code CLI / IDE guide with official install paths, capability table, K2.7 Code token-cost estimates, ACP/IDE notes, and a 30-minute re...
A builder comparison of Kimi K2.x and DeepSeek V4 models with official pricing, context windows, 50k+10k cost examples, coding workflow differences, a...
A hard-information guide to Kimi/Moonshot models as of July 2, 2026: model names, context windows, API prices, Kimi Code workflow, top-up rebates, and...
A practical RadarAI shortlist of ten AI agent and developer tools to watch in 2026, with official links and try/watch/skip guidance.
A practical guide to seven GitHub AI agent projects changing developer workflows in 2026, with risks and recommended actions.
A six-step AI agent adoption guide for enterprise teams, from pilot selection and ROI validation to stop conditions and team SOPs.
A practical framework selection guide for builders comparing LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, Mastra, Microsoft Agent Framework, and ...
A practical explanation of WebMCP, how it differs from MCP and Playwright MCP, and why structured website tools may matter for browser agents.
A practical workflow for connecting AI coding agents to real projects by separating issue intake, repo scan, code edits, browser verification, tests, ...
A practical MCP server shortlist for developers, covering filesystem, GitHub, browser automation, database, search, docs, and design-context servers.
A practical project list for browser agents, covering browser-use, OpenHands, Playwright MCP, OpenAI Computer Use, first tests, and current boundaries...
A 15-minute browser-agent test for form drafts, web research, and back-office checks, focused on net time saved after human review.
A practical worksheet for evaluating small-keyword opportunities with volume, SERP gaps, existing tools, buyer triggers, and deliverability.
A practical checklist for triaging AI tool updates into backlog, watch, or skip based on integration, pricing, workflow impact, and user signals.
Google Trends can show search heat, but not whether a direction has real product potential. This article explains how to add RSS, Hacker News, GitHub,...