Cyber Dharma: A New Engineering Answer to Ancient Questions
A project manifesto: why build Cyber Dharma, and what it is not.
Tags: Agent
Burning Hundreds of Millions of Tokens a Day. Then What?
Once token burn turns from usage exhaust into a KPI and leaderboard, it quickly mutates into theater. Don’t post fuel burn. Post where you got to.
Why PostgreSQL Won in the AI Era
Boring technology won the wildest era. A look at extensibility, agent choice, database cloning, and the future of the DBA.
When Coding Becomes Cheap, What Still Matters?
Codex 5.3 xHigh pushed my workflow past a tipping point: writing code is no longer the scarce resource. The real leverage is design quality and engineering acceptance. This is the practical loop I use to ship reliable software with AI agents.
The Agent Moat: Runtime
A mediocre local who knows the terrain beats a genius parachuted into unknown territory. Intelligence without context is idle. An agent without a runtime is vapor.
The Great Software Meltdown: When Translation Layers Get Squashed
SaaS and workflow software are dead. From APPs & GUIs to Agents, Databases, and CLI.
Agent OS: We're Building DOS Again
LLM = CPU. Context = RAM. Database = Disk. Agent = App. The mapping is surprisingly clean. And if OS history is any guide, we may know what comes next — and what’s still missing.
Claude Code Quick Start: Using Alternative LLMs at 1/10 the Cost
How to install and use Claude Code? How to achieve similar results at 1/10 of Claude’s cost with alternative models? A one-liner to get CC up and running!
What Database Does AI Agent Need?
The bottleneck for AI agents isn’t in database engines but in upper-layer integration. Muscle memory, associative memory, and trial-and-error courage will be key.