A real-world comparison of open-source DLT and managed Fivetran when your team lives in SQL, not Python. Includes costs, AI-assisted coding as a band-aid, and whether dlt is ready to kill Prefect.
We dig into the C4 model’s real-world adoption, its legitimate strengths for untangling enterprise architecture, and why some devs absolutely hate it. Based on Simon Brown’s new book and the actual backlash.
Leaked audited financials reveal OpenAI lost $38.5 billion in 2025. With open-source models eating market share and costs spiraling, the path to profitability looks increasingly like a mirage.
GLM-5.2 tops the creative writing leaderboard, is free on Hugging Face, and Unsloth’s 2-bit quant puts this 753B beast on a 256GB Mac. This is the local AI breakthrough you’ve been waiting for.
An NBER study reveals AI coding tools produce 7x more code but only 30% more releases. The bottleneck isn’t writing code, it’s everything that happens after.
The new HTTP QUERY method (RFC 10008) finally bridges the gap between GET and POST for complex queries. But does the web need another verb, or is this a solution in search of a problem?
The prevailing narrative says AI will make software engineering easier and less rigorous. The reality is the opposite: AI coding assistants are forcing a return to disciplined architecture, modularity, and testing.
Open model makers are skipping the sweet spot for unified memory owners. A deep dive into the gap, the hardware, and what we can do about it.
The staggering energy gap between biological and artificial intelligence isn’t just a curiosity, it’s the defining hardware challenge of our decade.
GLM-5.2 is the third-best model overall, but its MIT license means the real magic, distillation into small, local models, hasn’t even started yet.
Databricks claims LTAP collapses the four-decade divide between transactional and analytical databases into a single copy of data. No CDC, no ETL, no copies. Here’s why it matters and where it could fail.
Z.AI’s GLM-5.2 is the first open-weight model to cross 80% on Terminal-Bench, beating Gemini and threatening the closed-source business model. Here’s how 753B parameters and an MIT license are reshaping the AI landscape.
