2,191 stories
If you’ve been following along our executive perspective series, you’ve heard a little from our CEO Mark Bishof about where we are investing and how that innovation is accelerating, as well as what we envision for the agentic future of experience from Sid Banerjee, our chief strategy officer.
A WordPress MCP server lets an AI assistant read and edit your live site. What actually separates the options in 2026: builder coverage, safety and recovery, connection paths, and hosting model.
Everyone’s “doing AI” these days. Many products or platforms try to solve genuine problems, while others just add the magic button with stars graphics and hope people won’t ask what it actually does.
We built an eval for our agent's tool selection, learned it was measuring the wrong thing, and fixed it. The three-level framework, the LangSmith code to reproduce each step, and what it cost.
Static .cursorrules files grow bloated, fall out of sync, and go stale. Learn how Model Context Protocol (MCP) servers replace static custom rules files with live, queryable repository context.
Kubernetes already fixes things at 3am without asking. Six levels for deciding what an AI agent gets to do in your cluster - and what should still wake you.
The best lipsync.video alternatives compared on lip sync quality, credit pricing, languages, and free tiers. How sync. labs, Wav2Lip, and Vozo stack up.
Post-Merge Actions use pull request context to handle changelogs, documentation, tickets, and other work that should happen after merge.
Model Context Protocol (MCP) is the open standard that lets AI assistants like Claude, ChatGPT, and Gemini securely read, write, and manage a WordPress site through plain language instead of clicking through wp-admin.
Claude Code relies on a CLAUDE.md file for instructions on build, test, and style conventions. Learn how to write, structure, and maintain a perfect CLAUDE.md that keeps your AI agent on track.
Claude and other MCP clients can now frame screenshots and screen recordings in Apple device bezels — locally, video included. The server is thin, because the CLI underneath was designed for agents first.
What a user's full GitHits MCP trace revealed about slow indexing, excessive tool calls, JSON overhead, missing visibility, and what we're changing.
Radar v1.8 adds an Applications view, rebuilt navigation and search, richer Helm operations, large-cluster performance improvements, and Prometheus over MCP.
Connect the sync. labs plugin in ChatGPT to lip sync videos, dub them into other languages, clone voices, generate speech, and make images talk, all from a prompt.
Starting today, you can make your Lovable app available inside AI tools — your users can use it directly in ChatGPT, Claude, or their AI tool of choice.
Playbook integrations you probably didn't know about: Google Drive, Dropbox, Figma, Slack, Midjourney, Zapier, a Chrome extension, and the Playbook API.
A sourced comparison of pricing across 17 AI-native platforms. Every product requires a subscription or hides pricing behind a demo, except Synter and Amp.
Developers now ask AI assistants before they read your docs. Learn how answer engine optimization (AEO) works for documentation: llms.txt, answer-first writing, stable URLs, and why accuracy is the real ranking factor.
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