#Context Engineering

Articles about Context Engineering — exploring patterns, best practices, and real-world implementations in production systems.

10 posts tagged with context engineering. ← All posts

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Pratik Dhanave · ·5 min read

Building a Context Pipeline

Everything in this series — the budget, the system prompt, retrieval, memory, tools, and compaction — comes together as a pipeline that assembles the right window on every single turn, deliberately rather than by accident.

The budget, system prompt, retrieval, memory, tools, and compaction come together as a pipeline that assembles the right window on every turn — deliberately rather than by accident.

#Context Engineering#AI Engineering#AI Agents#LLMs#Prompt Engineering
Pratik Dhanave · ·5 min read

Compaction, Summarization, and Long Context

When context threatens to overflow, you compress it; and when you have a huge window to spend, you still should not fill it — because a long context is not used as well as a short, focused one.

When context threatens to overflow you compress it; and when you have a huge window you still should not fill it — because a long context is not used as well as a short, focused one.

#Context Engineering#AI Engineering#LLMs#AI Agents#Prompt Engineering
Pratik Dhanave · ·6 min read

Batching and Token Hygiene

The second-largest cost lever is almost embarrassingly simple: if no one is waiting on a response, run it in a batch for half off — and the discount is identical across all three major clouds, which makes it a safe architectural assumption. Then comes token hygiene, where the wins are real but one popular technique quietly costs more than it saves.

The second-largest cost lever is almost embarrassingly simple: if no one is waiting on a response, run it in a batch for half off — identical across all three major clouds. Then comes token hygiene, where one popular technique quietly costs more than it saves.

#AI Cost#AI Engineering#LLMs#Context Engineering#FinOps
Pratik Dhanave · ·5 min read

Tools and Structured Context

Tool definitions and structured data quietly consume a large share of the context budget, and how you select, describe, and format them shapes both what fits and how well the model uses it.

Tool definitions and structured data quietly consume a large share of the context budget, and how you select, describe, and format them shapes both what fits and how well the model uses it.

#Context Engineering#Tool Use#AI Agents#AI Engineering#LLMs#Prompt Engineering
Pratik Dhanave · ·5 min read

Memory and Conversation History

A conversation that never forgets eventually overflows, so managing what history an agent carries forward — and how it remembers across sessions — is one of the defining problems of context engineering.

A conversation that never forgets eventually overflows, so managing what history an agent carries forward — and how it remembers across sessions — is a defining problem of context engineering.

#Context Engineering#Memory#AI Agents#AI Engineering#LLMs#Prompt Engineering
Pratik Dhanave · ·5 min read

Prompt and Context Optimization

Since you pay for every input token, the fastest way to cut the cost of a call without changing the model is to send fewer tokens — and most production prompts are carrying far more than they need.

Since you pay for every input token, the fastest way to cut the cost of a call without changing the model is to send fewer tokens — and most production prompts carry far more than they need.

#AI Cost Optimization#Context Engineering#AI Engineering#LLMs#FinOps#Prompt Engineering
Pratik Dhanave · ·5 min read

Retrieval: Bringing in the Right Context

Retrieval is how you put external, current knowledge into a model's window, and doing it well is a context-engineering problem — the goal is not the most documents, but the right ones.

Retrieval is how you put external, current knowledge into a model's window, and doing it well is a context-engineering problem — the goal is not the most documents, but the right ones.

#Context Engineering#RAG#AI Engineering#Vector Databases#LLMs#Prompt Engineering#Databases
Pratik Dhanave · ·5 min read

The Context Window as a Budget

Every token in the window costs money, adds latency, and competes for the model's attention, so the first skill of context engineering is treating context as a scarce budget to be spent deliberately.

Every token in the window costs money, adds latency, and competes for attention. The first skill of context engineering is treating context as a scarce budget to spend deliberately.

#Context Engineering#AI Engineering#LLMs#Prompt Engineering
Pratik Dhanave · ·5 min read

What Is Context Engineering?

Prompt engineering was about wording a single instruction well; context engineering is the broader discipline of deciding everything a model sees at inference time — and for agents, it is the discipline that matters most.

Prompt engineering was about wording one instruction well; context engineering is the broader discipline of deciding everything a model sees at inference — and for agents it is the skill that matters most.

#Context Engineering#AI Engineering#LLMs#Prompt Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.