If you’re relying on Claude Code for your daily development tasks, you might be wasting valuable resources and slowing down your workflow without realizing it. In fact, 90% of developers waste thousands of tokens every single day by mismanaging the context provided to their agent. This inefficiency can make Claude Code feel more like a confused intern than an elite coding partner.
The core of this problem lies in how Claude Code manages its internal memory, which lives inside the CLAUDE.md files. These memory files are often overwhelmingly large, especially as your project grows, taking up a huge space in your context window.
For instance, the example above showed a memory file containing over 3,000 lines. When checking the context, these memory files consumed over 26k tokens, meaning over 13% of the entire context window was already gone when a new session started. This kind of always-on context is neither dynamic nor controllable, leading to significant inefficiency.
To transition from being an average Claude user to an actual AI engineer, you must adopt advanced context management techniques.
In this blog post, we will explore three advanced context engineering strategies:
Context Trimming
Sub-Agents
Parallelism
These tricks will absolutely improve your coding experience, allowing Claude Code to act as an elite partner by saving thousands of tokens and enabling simultaneous high-value tasks.
