AI systems today:
User → LLM → Tool → Response
But I think future AI systems be:
Intent Analyzer
→ Skill Loader
→ Context Manager
→ Memory Retrieval
→ Planner
→ Reasoning LLM
→ Evaluator
→ Persistent Memory
Less like a chatbot.
More like a cognitive operating system
One day the context window of AI agents may be filled not by the user’s problem…
…but by the agent’s own instructions.
tool metadata
repo instructions
skills.md
memory summaries
planner state
execution logs
We need dynamic context management, not infinite context windows.
Context is not conversation history.
Context is the active working state prepared for cognition.
That means an AI system should continuously:
add context
remove context
replace outdated assumptions
reprioritize goals
compress state
before the LLM even starts reasoning.
AI didn’t replace my ability to turn ideas into code, it removed the friction. The real bottleneck now is how well I can think, define problems, and judge what should be built. Coding is becoming like typing—execution is cheap, clarity is not.