Engineer Resources

Related resources for Engineer

AI Agents in Practice: A Hands-On Use Case with Prompts and Code
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Evidence-First Context Engineering with GSCP-12
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Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook
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The Artificial Intelligence Firm — How Companies Will Be Built and Run in the 2030s
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Prompt Engineering, 2031–2035 — Interfaces that Outlast Models
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Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)
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Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)
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Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)
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Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)
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Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)
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Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8
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Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7
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Prompt Engineering: Validators and Safety - Fail Closed, Repair Small — Part 6
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Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5
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Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims
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Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4
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Prompt Engineering: Style, Persona, and Lexicon Control Without Fine-Tuning — Part 3
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Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2
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Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1
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Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint
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Prompt Engineering: The Full-Stack Prompt Engineer - Unifying Prompt & Context Engineering
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The Full-Stack Prompt Engineer: Unifying Prompt & Context Engineering
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Generative AI, Part 7 — Cost & Latency Engineering: Decoder Policies, Caching, Batching, and $/Accepted Output
John Godel
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Generative AI, Part 2 — Style, Persona & Brand: Controllable Generation Without Fine-Tuning
John Godel
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Generative AI, Part 1 — Decoding & Control: How to Make Models Write What You Want
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Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches
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Role of Memory in Context Engineering
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Is It Really Equilateral? Validating Triangles in High-Precision Systems Using Python
Tuhin Paul
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Is Context Engineering the Future of AI Development
Mahesh Chand
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“Context Engineering” Is Just Rebranding: Prompt Engineering Already Owns the Context
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Prompt Engineering vs. Context Engineering: A Technical Reality Check
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Context Engineering vs. Prompt Engineering: A Technical Reality Check
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Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering
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6d
Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
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Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
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6d
Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
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6d
Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really
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6d
Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System
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Context Engineering: No AI Future Without Prompt Engineering - Why Text, Voice, and Every Form of Prompting Is Non-Negotiable
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Using Prompt Engineers to Help CROs Fix Hidden Revenue Leaks, Keep Customers, and Drive Expansion
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Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist
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What Are the Main Components of Context Engineering?
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LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)
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LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps
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Can You Do Context Engineering Without Prompt Engineering?
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1w
Difference Between Prompt Engineering and Context Engineering
Mahesh Chand
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Context Engineering with Gödel’s AgentOS and Prompt Engineering
John Godel
1w
Context Engineering’s Next 5 Years
John Godel
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Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement
John Godel
1w
Context Engineering in the Wild: How We Fixed an Airline Refund Assistant
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Context Engineering, Right Now: Turning Raw Data into Reliable AI
John Godel
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Context Engineering with GSCP-12: From Retrieval to Governed Reasoning
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Without Prompt Engineering, There Is No Context Engineering
John Godel
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Context Engineering vs Prompt Engineering — The Next Evolution in AI Design
Mahesh Chand
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Context Engineering - The Future of Intelligent AI Systems
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Context Engineering Tutorial: How to Build Smarter AI Systems That Think in Context
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What is Context Engineering? The Next Evolution Beyond Prompt Engineering
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Generative AI: Seven Frontiers After ChatGPT and Codex
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🧭 Vibe Coding: The Professional Prompt Engineering Approach to Emotional Precision in AI
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Prompt Engineering: How GSCP Stays Fast - Eliminating Runtime Overhead While Preserving Multi-Step Validation
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Difference Between a Prompt and a Prompt Template
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How Do I Start a Career in Prompt Engineering?
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How to Turn Claude Code into a Domain-Specific Coding Agent | LangChain Guide
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How to Combine Tabular Data with LLMs Effectively
Riya Patel
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Large Language Models (LLMs) With Guardrails: How GSCP Turns Raw Capability Into Reliable Systems
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Automated Databricks Notebook CI/CD Using GitLab
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Effective Context Engineering for AI Agents: Best Practices and Frameworks
Rohit Gupta
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The Age of Prompt Architects
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How Prompt Engineering Will Change Human Life in the Next Five Years: Guided by GSCP
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Best Practices for Prompt Engineering in Data Science
Riya Patel
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Production Prompt Engineering: A Complete, Copy-Paste Prompt for One Real Use Case
John Godel
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Prompt Engineering: Why Your Autonomous IDE Must Deliver End-to-End Solutions While You Sleep
John Godel
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Prompt Engineering to Systems Design: Turning Language Into Reliable Software
John Godel
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🤔 What is Grounding in AI Prompts?
Vijay Kumari
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Generative AI for Legal Professionals: Insights Three Years Into the Wave
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🔗 What is Prompt Chaining in AI?
Avnii Thakur
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🎯 Role Prompting in AI Models: Guide to Effective AI Instructions
Vijay Kumari
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What is chain-of-thought prompting?
Avnii Thakur
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Prompt Engineering: Planning, Designing, and Implementing Prompts: Why It Matters in Real-Life Use Cases
John Godel
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✨ How to Structure a Good Prompt for AI Models
Vijay Kumari
3w
What are few-shot, zero-shot, and one-shot learning in LLMs?
Avnii Thakur
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Why is prompt design important in AI applications?
Vijay Kumari
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Exploring Promptfoo: Testing and Evaluating LLM Prompts Like a Pro
Lokesh Varman
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Prompt Engineering: The Hidden Superpower Behind Generative AI
John Godel
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How to Start a Career in Cloud Computing?
Saurav Kumar
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Prompt Engineering: The Hidden Force Reshaping Human–AI Collaboration
John Godel
4w
CSharp (C#) and Generative AI: From Legacy Visual Studio to Modern Enterprise AI
John Godel
4w
Prompts and Their Travel in Transformers
John Godel
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Prompt Engineering: Agents at Work — Planning, Orchestration, and Safety for Autonomous Tasks
John Godel
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Prompt Engineering: Build a Summarizer Assistant: From Raw Notes to Crisp Bullets and Next-Step Plans
John Godel
Sep 18
AI in Software Development: Save 40% Time Across the SDLC
Mahesh Chand
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💼 Top Future Career Opportunities in AI & ML
Avnii Thakur
Sep 16
Prompt Engineering for EdTech: Building Reliable AI Tutors and Graders
John Godel
Sep 16
Artificial Intelligence - First Prompting for Cybersecurity: CoT, ToT, ReAct, RAG, and GSCP—Incident-Ready Patterns
John Godel
Sep 16
Prompt Engineering for E-Commerce: CoT, ToT, and GSCP with Real-World Prompts
John Godel
Sep 15
ParserGPT: Turn Messy Websites into Clean CSVs
Rohit Gupta
Sep 15
Bridging Old and New: Why IBM WTX Still Matters
Lokesh Varman
Sep 15
Difference Between MLE, Data Scientist, and Data Engineer
Riya Patel
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Building Effective Tools for LLM Agents
Rohit Gupta
Sep 12
How Generative AI Experts Can Land the Best Jobs
John Godel
Sep 11

Topics

AI Agents in Practice: A Hands-On Use Case with Prompts and Code

Evidence-First Context Engineering with GSCP-12

Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook

The Artificial Intelligence Firm — How Companies Will Be Built and Run in the 2030s

Prompt Engineering, 2031–2035 — Interfaces that Outlast Models

Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)

Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)

Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)

Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)

Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)

Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8

Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7

Prompt Engineering: Validators and Safety - Fail Closed, Repair Small — Part 6

Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5

Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims

Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4

Prompt Engineering: Style, Persona, and Lexicon Control Without Fine-Tuning — Part 3

Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2

Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1

Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint

Prompt Engineering: The Full-Stack Prompt Engineer - Unifying Prompt & Context Engineering

The Full-Stack Prompt Engineer: Unifying Prompt & Context Engineering

Generative AI, Part 7 — Cost & Latency Engineering: Decoder Policies, Caching, Batching, and $/Accepted Output

Generative AI, Part 2 — Style, Persona & Brand: Controllable Generation Without Fine-Tuning

Generative AI, Part 1 — Decoding & Control: How to Make Models Write What You Want

Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches

Role of Memory in Context Engineering

Is It Really Equilateral? Validating Triangles in High-Precision Systems Using Python

Is Context Engineering the Future of AI Development

“Context Engineering” Is Just Rebranding: Prompt Engineering Already Owns the Context

Prompt Engineering vs. Context Engineering: A Technical Reality Check

Context Engineering vs. Prompt Engineering: A Technical Reality Check

Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering

Why Prompt Engineering Is a Prerequisite for Context Engineering

Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset

Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset

Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really

Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System

Context Engineering: No AI Future Without Prompt Engineering - Why Text, Voice, and Every Form of Prompting Is Non-Negotiable

Using Prompt Engineers to Help CROs Fix Hidden Revenue Leaks, Keep Customers, and Drive Expansion

Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist

What Are the Main Components of Context Engineering?

LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)

LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps

Can You Do Context Engineering Without Prompt Engineering?

Difference Between Prompt Engineering and Context Engineering

Context Engineering with Gödel’s AgentOS and Prompt Engineering

Context Engineering’s Next 5 Years

Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement

Context Engineering in the Wild: How We Fixed an Airline Refund Assistant

Context Engineering, Right Now: Turning Raw Data into Reliable AI

Context Engineering with GSCP-12: From Retrieval to Governed Reasoning

Without Prompt Engineering, There Is No Context Engineering

Context Engineering vs Prompt Engineering — The Next Evolution in AI Design

Context Engineering - The Future of Intelligent AI Systems

Context Engineering Tutorial: How to Build Smarter AI Systems That Think in Context

What is Context Engineering? The Next Evolution Beyond Prompt Engineering

Generative AI: Seven Frontiers After ChatGPT and Codex

🧭 Vibe Coding: The Professional Prompt Engineering Approach to Emotional Precision in AI

Prompt Engineering: How GSCP Stays Fast - Eliminating Runtime Overhead While Preserving Multi-Step Validation

Difference Between a Prompt and a Prompt Template

How Do I Start a Career in Prompt Engineering?

How to Turn Claude Code into a Domain-Specific Coding Agent | LangChain Guide

How to Combine Tabular Data with LLMs Effectively

Large Language Models (LLMs) With Guardrails: How GSCP Turns Raw Capability Into Reliable Systems

Automated Databricks Notebook CI/CD Using GitLab

Effective Context Engineering for AI Agents: Best Practices and Frameworks

The Age of Prompt Architects

How Prompt Engineering Will Change Human Life in the Next Five Years: Guided by GSCP

Best Practices for Prompt Engineering in Data Science

Production Prompt Engineering: A Complete, Copy-Paste Prompt for One Real Use Case

Prompt Engineering: Why Your Autonomous IDE Must Deliver End-to-End Solutions While You Sleep

Prompt Engineering to Systems Design: Turning Language Into Reliable Software

🤔 What is Grounding in AI Prompts?

Generative AI for Legal Professionals: Insights Three Years Into the Wave

🔗 What is Prompt Chaining in AI?

🎯 Role Prompting in AI Models: Guide to Effective AI Instructions

What is chain-of-thought prompting?

Prompt Engineering: Planning, Designing, and Implementing Prompts: Why It Matters in Real-Life Use Cases