For people building with AI: new models, local AI, coding tools, pricing and security, explained plainly.
Datadog shut down CoScreen in 2026, four years after buying it. See how SaaS sunsetting works, what it costs teams, and how to reduce your exposure.
Can you opt out of AI scraping? Robots.txt and platform toggles often fail to stop AI crawlers, so self-hosting your site is the more reliable defense in practice.
METR, DORA, and Faros data show AI can slow developers and hurt delivery stability. Learn five signs your AI coding stack adds output but not value.
How ChatGPT chooses which sources to cite, from query rewriting and retrieval to ranking by authority and freshness, and why most retrieved pages go uncited.
HTTP header prompt injection hides instructions in response metadata that AI agents read. Learn how it works, how common it is, and a 6-step prevention checklist.
Ranking #1 on Google doesn't guarantee an AI citation. Learn what AEO is and which tactics work, based on Ahrefs and Princeton data on stats, structure and freshness.
Learn how to structure content so ChatGPT, Perplexity, and Google AI Overviews cite it, using answer-first sections, FAQs, and real citation data.
Withings now charges new accounts $99.99/year for Apple Health and Health Connect sync. See who is affected, what stays free, and why the change matters.
Learn how to run a local LLM for business: hardware tiers, 7B-30B model picks, Ollama and vLLM setup, and when owning GPUs beats paying API bills.
Track traffic from AI assistants in GA4 and server logs with a custom source-only channel group, crawler log analysis, and IP-based bot verification.
AEO vs SEO for AI search visibility: how each earns results, where they differ, and which matters more now. Includes click data and a checklist.
Local LLM vs API cost compared. Renting tokens is cheaper at low or spiky usage, while owning hardware wins once workloads run steadily. Find your break-even point.
An AI skill file (SKILL.md) is a markdown folder of instructions an agent loads on demand. Learn the format, token costs, and how it compares to MCP servers.
Can you build a full-stack app with no cloud compute? We tested WebContainers, WebVM, Pyodide, HiGHS-js, and WebLLM to find what works and where it breaks.
AI-generated code fails security checks 45% of the time, Copilot repos leak secrets 40% more often, and shadow AI adds $670,000 to breach costs, per 2025 data.
AI model size vs. compute effort explained. Model size is fixed at training, while compute effort is a per-request setting that moves your API bill and spend.
Compare OpenAI API pricing with a $2,000 local GPU for agentic workloads. See break-even times, token costs, and when renting beats owning.
Learn what an LLM proxy is and how to set one up with LiteLLM to log prompts, tool calls, and spend from local AI agents like Ollama, Cline, and Continue.
Learn what happens when a registrar, court, or government seizes your domain, the three ways it occurs, UDRP disputes, and how to reduce the risk of losing it.
MCP shadow IT is when employees link personal AI accounts to Slack, Notion, and Gmail. See the data, the Asana leak, and how IT teams can respond.
Learn how to orchestrate planner, coder, reviewer, and tester AI agents: worktrees, file locking, quality gates, token costs, and where multi-agent setups fail.
Compare dense, MoE, reasoning, and state-space AI models for internal tools by cost per task, latency, self-hosting hardware needs, and governance.
Which software engineering skills matter when AI writes the code? Learn five: directing agents, verifying output, system design, governance, and ownership.
Learn how to monitor AI agents at work with a six-step framework: agent inventory, non-human identity, autonomy tiers, runtime logging, kill switches, and NIST/OWASP alignment.