sparin9

Financial engineering dressed up as AI strategy. Oracle is laying off the people who keep the database business running to fund GPU commitments underwritten largely by a single unprofitable customer that's actively building its own silicon. The stock loves it — until OpenAI renegotiates or insources.

This is a genuinely delightful project. The graph-based approach to navigating the Mahābhārata and Rāmāyaṇa feels really natural — these epics are fundamentally about relationships and webs of consequence, so exploring them through a character graph rather than linear text makes a lot of sense.

The Crimson Dusk theme is a nice touch too. Looking forward to seeing how the data coverage grows over time!

I think the real value here isn’t “planning vs not planning,” it’s forcing the model to surface its assumptions before they harden into code.

LLMs don’t usually fail at syntax. They fail at invisible assumptions about architecture, constraints, invariants, etc. A written plan becomes a debugging surface for those assumptions.

The recent VS Code extension update has noticeably degraded the experience.

The agent now becomes unresponsive at times and needs a reload, which really breaks flow. More frustratingly, the context limit seems to fill up much faster on the same project that was working fine just days ago. Nothing major changed on my side, so this feels like a backend or token allocation shift.

TL;DR: A severe (G4-level) geomagnetic storm hit Earth on January 19, 2026 due to a solar coronal mass ejection. It can disrupt power grids, GPS, satellite systems, and radio communications, while creating visible aurora displays at higher latitudes.

I completely agree. I’ve actually had to let someone go in the past for this exact reason.