Token Budgets Are a System Design Problem, Not Just a Prompting Trick
arpit_bhayani · x · 2026-08-24
Token budgets are often ignored until failure, but they are fundamentally a system design issue. Context window contents—system prompts, history, RAG docs, tool outputs—are architectural decisions. Dumping unranked chunks or unbounded history requires design fixes like chunking strategies, summarization, or tiered retrieval, not prompt patches. A well-designed 32k system outperforms a poorly designed 200k one at lower cost. Model performance degrades non-linearly near context limits, which must be designed around.
More from coding & agent
- Papers with Code Adds Model Size Filtering for Benchmarks — NielsRogge · 2026-08-24
- Open source 'retro' skill automates post-session debugging for coding agents — mattpocockuk · 2026-08-24
- Anthropic proposes 'Harness' paradigm for enterprise agents — dair_ai · 2026-08-24
- RAG Evolution: Comparing Self, Corrective, and Adaptive Architectures — goyalshaliniuk · 2026-08-24
- Prompt Tip: Use 'Call the Skill tool' to Invoke Skills — mattpocockuk · 2026-08-24
- Open-source light-tools: Lossless Agent Toolset Filters 84% of Context Tokens — Select-Lifeguard-658 · 2026-08-24