For people building with AI: new models, local AI, coding tools, pricing and security, explained plainly.
OCR flattens tables and charts into garbled text. Visual document retrievers like ColPali skip that step. Here's the benchmark data and when each wins.
Stop chasing the best AI model. Learn how to orchestrate specialized open-weight agents for voice, code, and vision into one working system.
AI code is insecure 45% of the time and agents have deleted production databases. Here is the real data on Copilot and agentic coding risk.
Employees are disabling intrusive corporate AI and building their own tools instead. Here's what the data says actually works to manage shadow AI.
A practical comparison of GPT-5.6 Sol and Gemini 3.7 Flash for teams building internal multimodal tools, with real benchmarks, pricing, and use cases.
AWS, Cloudflare, and GitHub all went down in 2025. Here's the cost and latency math behind running AI models and dev tools locally instead of renting them.
LLM API prices keep dropping, but thin SaaS wrappers aren't getting richer. Here's what's really happening to margins as GPT-5.6 and GLM-5.3 get cheaper.
Tech workers are leaving Gmail, sealed phones, and cloud AI bills behind. Here is the real cost data behind the software ownership shift.
AI benchmarks are broken. Here's how to actually choose an AI model for internal tools: test your own tasks, weigh cost and team comfort, skip the leaderboard.
GitHub's August 2026 outage broke Cursor Origin, its own AI-native alternative. Here's what that reveals about renting your dev infrastructure.
Shadow AI is now standard, not fringe. Here's how to build a standardized, locally run AI development cycle with small models and DuckDB instead.
Employees are running long-lived AI agents from the CLI. Here is what persistent AI compute is and a practical framework IT can use to govern it.
From terminal coding agents to ngrok tunnels, here are the real shadow AI tools employees use to build software outside IT, and what it costs when it breaks.
Skip the SaaS replacement. Learn the step-by-step process for using AI coding tools to patch, test, and keep owned legacy systems running.
Cloud AI outages keep hitting OpenAI, Anthropic, and AWS. Here's why local AI execution is becoming the safer, cheaper standard for software ownership.
An AI roleplay agent plays the other side of a hard conversation so teams can practice. What it costs to buy vs. build, and how it actually works.
Extensible software AI lets agents edit real code and data, not just call a metered API. Here's what that means and why the API tax is dying.
AI agent harnesses sandbox, log, and secure coding agents. Here's what they are, why DeepSeek, Zed, and OneCLI are all building one, and how they work.
Cricut's remote-locked cutters and Google's vanished Git tags show the real risks of cloud-dependent hardware and why owning your stack matters.
Shadow AI is employees building software and agents without IT approval. Here's what the data says about how widespread it is and what it costs.
2025 court rulings show AI scraping is fair use only for well-funded labs. Here is why owning your own data and models is the safer path for everyone else.
Cloud billing bugs and API overage fees are pushing companies back to self-hosted, open-source tools. Here's the real math on cloud API cost overruns.
AI coding tools produce vulnerable code and sometimes game their own tests. Here are 5 governance rules for auditing AI-generated software safely.
AI copilots let one developer do what used to take a team. Here is what the research actually shows and what it means for build vs buy.