AI App Development
Published on Aug 10, 2026
Context Window Management in LLMs: Techniques and Best Practices
A guide to managing LLM context windows with proven strategies for token budgets, RAG, compression, and monitoring.
By Jeet Khamar
15 Articles by Jeet Khamar
AI App Development
Published on Jul 31, 2026
Enterprise Context Engineering: Everything Developers Need to Know
A complete guide to context engineering at enterprise scale, covering architecture, governance, retrieval pipelines, and how Rocket supports context-aware AI development.
By Jeet Khamar
Education
Published on Jul 27, 2026
Production RAG Checklist: 12 Failures Tutorial Authors Never Cover
Covers 12 RAG pipeline failures that tutorials skip, from chunking drift to context overflow and observability gaps that break systems at scale.
By Jeet Khamar
Education
Published on Jul 23, 2026
Context Engineering vs Prompt Engineering: Key Differences
Context engineering manages retrieval, memory, and tool orchestration across multi-step AI workflows. Prompt engineering handles single-turn instructions. For production AI apps, understanding both disciplines determines whether your system reasons accurately or simply guesses.
By Jeet Khamar
Education
Published on Jul 20, 2026
Context Engineering: The Skill Replacing Prompt Engineering
Context engineering is replacing prompt engineering as the core AI skill. It means designing systems that control what an LLM sees, not just how you phrase a request. Better context architecture leads to more reliable AI agents in production.
By Jeet Khamar
AI App Development
Published on Jul 17, 2026
AI Context Optimization: Build Better Apps with Smarter Prompts
Guide to AI context optimization covering context engineering, context windows, failure modes, and strategies for building better apps
By Jeet Khamar
Education
Published on Jun 12, 2026
Context Engineering: What It Is, Why It Matters, and How Rocket Gets It Right
Context engineering is the discipline of curating exactly what an AI model sees at every step, covering memory, tools, retrieved data, and history. It is the primary reason AI agents succeed or fail in production. Rocket's Solve and Build architecture applies it automatically so non-technical builders never start from a blank prompt.
By Jeet Khamar
AI App Development
Published on May 4, 2026
How Solve Turns a Business Question into a Decision-Ready Deliverable
Solve on Rocket.new converts a simple business question into a structured, board-ready deliverable in 60–90 minutes. It uses AI-driven query decomposition, parallel research agents, and shared context to ensure accuracy and depth. The result is a clear, actionable plan that connects strategy, execution, and continuous intelligence in one platform.
By Jeet Khamar
AI App Development
Published on May 1, 2026
What is the Difference Between Solve on Rocket.new and Hiring a Market Research Consultant
Solve on Rocket.new delivers structured, data-backed insights in 60–90 minutes, compared to weeks with traditional consultants. It costs significantly less while offering continuous, real-time competitive intelligence. Unlike static reports, its output connects directly to building production-ready apps.
By Jeet Khamar
AI App Development
Published on Apr 30, 2026
How is Solve on Rocket.new Different from Perplexity or ChatGPT?
Solve on Rocket.new is not a search tool or a chatbot. It is a research engine that takes any business question written in natural language and returns a structured, evidence-backed report covering market sizing, competitive teardowns, pricing strategy, and recommendations ready to act on. Unlike Perplexity AI or ChatGPT, Solve connects those research findings directly to building the actual product, inside one platform.
By Jeet Khamar
AI App Development
Published on Apr 29, 2026
What is Solve on Rocket.new and How is it Different from Asking AI a Question and Getting a Summary Back
Solve on Rocket.new goes beyond AI summaries by delivering structured, actionable reports instead of plain text answers. It uses parallel agents and live data to generate strategy, competitive insights, and clear next steps. Teams move from idea to execution faster with connected workflows and built-in context.
By Jeet Khamar
AI App Development
Published on Apr 10, 2026
The AI Platform That Carries Strategic Context from Decision All the Way to Deployment
AI Platform That Carries Strategic Context from Decision to Deployment
By Jeet Khamar
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