Prompt Engineering
OpenAI, Anthropic, and Google AI engineers use 10 internal prompting techniques that guarantee near-perfect accuracy…and nobody outside the labs is supposed to know them.
— Alex Prompter (@alex_prompter) December 25, 2025
Here are 10 of them (Save this for later): pic.twitter.com/clWkf4BbZm
(2025-12-26T02:17.220Z)
Perplexity Query
(2025-12-26T02:17
.220Z)
Question:
What is Prompt Engineering? What are the best practices at this very moment, December 2025? How has it evolved since the advent of AI Assisted Coding and Vibe Coding?
Model: sonar-pro
Prompt engineering is the process of crafting and refining inputs—known as prompts—to guide large language models (LLMs) and generative AI toward producing accurate, relevant, and high-quality outputs.
[zmih6f]
[xaiba8]
[e75puw]
Best Practices in December 2025
Current best practices emphasize structured techniques, context management, and iterative optimization to maximize AI performance while minimizing errors like hallucinations or biases. Key methods include:
- Prompt chaining: Split complex tasks into subtasks, using outputs sequentially for reliability. [xb41nl]
- Generated knowledge prompting: First generate relevant facts, then use them to complete the task for higher quality. [xaiba8]
- Advanced operational practices: Token budgeting, provenance tags, context versioning, logging, and regression tests to treat the context window as an engineered surface. [e75puw]
For instance, in a chatbot, wrap vague user input like "Where to purchase a shirt" in a detailed prompt specifying role, location, and response format to yield precise results.
[xaiba8]
Prompt engineers build reusable libraries through trial-and-error, enhancing user experience, flexibility, and domain expertise (e.g., medical diagnostics).
[xaiba8]
Evolution Since AI-Assisted Coding and Vibe Coding
Prompt engineering emerged with early LLMs around 2022, focusing on basic natural language instructions as a "soft skill" alternative to traditional coding.
[zmih6f]
AI-assisted coding (e.g., GitHub Copilot, post-2021) integrated prompts into code generation, evolving it toward structured templates for developers.
[xaiba8]
By mid-2025, "Vibe Coding"—an informal shift toward intuitive, high-level "vibe-based" prompts (e.g., "make it feel modern and efficient") enabled by advanced models—reduced rigid syntax needs, prioritizing creativity over precision.
[e75puw]
This led to context engineering, a matured form per a July 2025 survey: systematic retrieval/generation/processing/management of context, with observability to prevent regressions.
[e75puw]
Overall, it has shifted from trial-and-error artistry to a rigorous engineering discipline, bridging human intent and AI via reusable, scalable systems amid rising demand for prompt engineer roles.
[xaiba8]
[e75puw]
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Q&A Strategy Prompt
Pros & Cons Prompt
Stepwise Chain of Thought Prompt
Role Prompt
Citations
[zmih6f] 2025, Dec 25. The Ultimate Guide to Prompt Engineering in 2025 - Lakera. Published: 2025-12-18 | Updated: 2025-12-25
[xaiba8] 2025, Dec 25. What is Prompt Engineering? - AWS. Published: 2025-12-18 | Updated: 2025-12-25
[xb41nl] 2025, Dec 25. What Is Prompt Engineering? Definition and Examples - Coursera. Published: 2025-06-25 | Updated: 2025-12-25
[e75puw] 2025, Dec 21. Prompt engineering - Wikipedia. Published: 2021-10-20 | Updated: 2025-12-21
[5]: 2025, Dec 25. Prompt Engineering for AI Guide | Google Cloud. Published: 2025-12-22 | Updated: 2025-12-25
[6]: 2025, Dec 25. What Is Prompt Engineering in Design? — updated 2025 | IxDF. Published: 2023-12-15 | Updated: 2025-12-25
[8]: 2025, Dec 25. Prompt Engineering: The Art of Getting What You Need From .... Published: 2025-02-01 | Updated: 2025-12-25
[9]: 2025, Dec 23. Effective Prompts for AI: The Essentials. Published: 2025-05-30 | Updated: 2025-12-23