What new AI models and tools can do, what they cost, how they compare, and how to run them yourself.
How to run the 320B-parameter GLM-5.3-Flash model on CPU with 128GB RAM using Unsloth's dynamic GGUF quants, plus the hardware math and exact commands.
Germany's Sovereign Tech Fund is pouring millions into Linux packaging tools. Here's why enterprises are making the same bet on owning their software stack.
Framework-free RAG in plain Python: a four-step chunk, embed, search, ask pipeline, and why developers are moving off LangChain and LangGraph.
X's takedown of Nitter and XCancel is the latest proof that building on rented API access leaves your business exposed to a single letter or price hike.
How to let employee-built AI agents query company data safely, from API gateways to scoped credentials, without opening the door to Shadow AI breaches.
What is agentic flooding? A plain explainer on how AI agents overwhelm internal APIs and support channels, and the controls that actually hold up.
Local inference engines like Ollama and llama.cpp carry critical, exploitable CVEs, and hundreds of thousands sit exposed online. Here's what to fix first.
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.
AI tools like v0, Bolt, and Lovable now build internal dashboards in minutes. Here is when that replaces niche SaaS, and when it does not.
PocketBase, Vaultwarden, Uptime Kuma, Miniflux, and Umami: five single-binary apps that replace pricey SaaS subscriptions, with real cost comparisons.
Why developers are pairing single binaries with cheap object storage instead of managed databases, and what it means for self-hosting costs.
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.
From lost archival data to 1,500% price hikes, here's what SaaS vendor lock-in actually costs and how to avoid getting trapped.
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.