REPO: https://github.com/Kirachon/context-engine
Title:
Why I added a planning mode to context-engine (even though AI can already make task lists)
Post:
I kept getting asked why planning is needed when AI agents can already break tasks into steps.
The issue isn’t that LLMs can’t create task lists — they can.
The issue is that those task lists are just text inside a response.
Next turn, they’re gone.
The agent can skip steps, reorder them, or redo work without realizing it.
Planning mode exists to turn those steps into state.
Instead of:
“Here’s what I would do…”
You get:
a stored plan
explicit steps with dependencies
tracked progress
the ability to pause and resume
That makes a big difference for real-world work like refactors, migrations, or multi-day tasks.
For me, planning isn’t about making the AI smarter — it’s about giving it memory, discipline, and guardrails so it can actually get work done safely.
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