engineering Resources

Related resources for engineering

DRY (Don’t Repeat Yourself) Principle Software Development
Jignesh Trivedi
3d
AI Hallucinations Explained: Inside the Museum of AI Hallucinations | AI Agents Conference 2025
Baibhav Kumar
6d
SharpCoder Demo: AI Agents Powering Enterprise Vibe Coding | AI Agents Conference 2025
Baibhav Kumar
1w
Seamlessly Read Multiple Excel Files in Databricks Notebook
Abiola David
1w
The AI Gold Rush Is Here, and Most People Are Playing the Wrong Game
John Godel
1w
Winning with Generative AI and Prompt Engineering
John Godel
1w
From Junior to Senior Web Developer: What Changes?
Rajesh Gami
1w
The Real Web Developer Roadmap (No Fluff)
Rajesh Gami
1w
Using Micro Frontends for Scalable Web Applications
Rajesh Gami
1w
Entity Framework Core – Database First Approach
Ajay Narkhedkar
1w
What is Agent Engineering: How Modern AI Agents Are Built
Rohit Gupta
1w
What LangChain Polly Is and How It Automates AI Agent Engineering
Rohit Gupta
2w
How to Use AI Agents in an ASP.NET MVC Project (Beginner to Advanced Guide)
Sangeet Shah
2w
Return First: A Clean-Code Mindset
Azer Engazzou
2w
Directly Import a Notebook Into a Microsoft Fabric Workspace
Abiola David
2w
How to Import a Notebook into Your Databricks Workspace (Step-by-Step Guide)
Abiola David
2w
Should Interns Rely on AI Tools for Coding Help or Focus More on Manual Problem-Solving?
Vijay Kumari
3w
Do You Believe AI Can Replace Junior Developer Jobs, or Will It Create New Opportunities?
Avnii Thakur
3w
What Recent AI Trend Excites You the Most as an Aspiring Developer?
Vijay Kumari
3w
Making Money With Generative AI And Prompt Engineering
John Godel
3w
Making Money With Generative AI And Prompt Engineering
John Godel
3w
How Large Language Models (LLMs) Work
Baibhav Kumar
3w
How to Build AI Prompts in C# 14
Ziggy Rafiq
4w
AI-driven development with C# 14 and .NET 10 - Best Practices
Ziggy Rafiq
4w
Power of Prompt Engineering: An AI Native Product Organization in Software Form
John Godel
Nov 25
6 Types of Filters in ASP.NET Core – Complete Guide (With Examples & Use Cases)
Ajay Narkhedkar
Nov 25
How AI Agents Use Filesystems for Context Engineering
Rohit Gupta
Nov 24
Power of Prompt Engineering: AI Dev Factory - An Agent Team That Builds and Upgrades Software and Itself
John Godel
Nov 23
How Incident Management and SRE Practices Reduce Production Failures
Rajesh Gami
Nov 20
How Google Maintains Global Reliability at Planet Scale
Rajesh Gami
Nov 20
Introducing GSCP-15: Turning AI Workflows Into Governed, Learning Sessions
John Godel
Nov 19
Power BI Modeling MCP Server in VS Code
Abiola David
Nov 19
Automated Databricks Continuous Integration and Continuous Deployment using Azure DevOps
Abiola David
Nov 19
Sentiment Analysis with GPT-5 and Python: A Complete 2025 Guide
Rohit Gupta
Nov 18
Can AI Agents Replace Human Jobs or Developers
Mahesh Chand
Nov 16
🤖 Top 5 AI Skills That Can Secure Your Position in a Company (2025 Edition)
Kunal kumar
Nov 12
Top 50 Prompt Engineering Techniques for Python Developers
Rohit Gupta
Nov 07
FastAPI + LLMs: Building a Scalable AI Backend
Rohit Gupta
Nov 07
Across Tenants Data Integration Using Copy Job
Abiola David
Nov 04
From Prompt Engineering to Proof: How Prompt and Context Engineering Work as One
John Godel
Oct 31
Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)
John Godel
Oct 30
Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response
John Godel
Oct 30
From Developer to Problem Solver: Thinking Beyond Code
Anand Pandey
Oct 29
How AI Is Transforming the Role of Software Developers
Priyanka Pandey
Oct 29
How AI Is Transforming the Role of Software Developers
Anand Pandey
Oct 29
Why Context Engineering Needs Prompt Engineers to Survive
John Godel
Oct 23
Operational Prompt Engineering: Turning Prompts into Products
John Godel
Oct 23
New Fabric Shortcuts Transformations
Abiola David
Oct 23
Automating SQL Query Generation Using LlamaIndex and Snowflake
Rohit Gupta
Oct 21
AI Agents in Practice: A Hands-On Use Case with Prompts and Code
John Godel
Oct 19
Evidence-First Context Engineering with GSCP-12
John Godel
Oct 19
Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook
John Godel
Oct 19
Prompt Engineering, 2031–2035 — Interfaces that Outlast Models
John Godel
Oct 17
Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)
John Godel
Oct 17
Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)
John Godel
Oct 17
Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)
John Godel
Oct 17
Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)
John Godel
Oct 17
Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)
John Godel
Oct 17
Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8
John Godel
Oct 16
Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7
John Godel
Oct 16
Prompt Engineering: Validators and Safety - Fail Closed, Repair Small — Part 6
John Godel
Oct 16
Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5
John Godel
Oct 16
Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims
John Godel
Oct 16
Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4
John Godel
Oct 16
Prompt Engineering: Style, Persona, and Lexicon Control Without Fine-Tuning — Part 3
John Godel
Oct 16
Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2
John Godel
Oct 16
Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1
John Godel
Oct 16
Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint
John Godel
Oct 16
Prompt Engineering: The Full-Stack Prompt Engineer - Unifying Prompt & Context Engineering
John Godel
Oct 16
The Full-Stack Prompt Engineer: Unifying Prompt & Context Engineering
John Godel
Oct 16
Generative AI, Part 7 — Cost & Latency Engineering: Decoder Policies, Caching, Batching, and $/Accepted Output
John Godel
Oct 16
Generative AI, Part 2 — Style, Persona & Brand: Controllable Generation Without Fine-Tuning
John Godel
Oct 16
Generative AI, Part 1 — Decoding & Control: How to Make Models Write What You Want
John Godel
Oct 16
Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches
John Godel
Oct 15
Role of Memory in Context Engineering
Mahesh Chand
Oct 15
Is It Really Equilateral? Validating Triangles in High-Precision Systems Using Python
Tuhin Paul
Oct 15
Is Context Engineering the Future of AI Development
Mahesh Chand
Oct 14
“Context Engineering” Is Just Rebranding: Prompt Engineering Already Owns the Context
John Godel
Oct 14
Prompt Engineering vs. Context Engineering: A Technical Reality Check
John Godel
Oct 14
Context Engineering vs. Prompt Engineering: A Technical Reality Check
John Godel
Oct 14
Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
Oct 14
Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
Oct 14
Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
Oct 14
Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
Oct 14
Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really
John Godel
Oct 14
Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System
John Godel
Oct 14
Context Engineering: No AI Future Without Prompt Engineering - Why Text, Voice, and Every Form of Prompting Is Non-Negotiable
John Godel
Oct 14
Using Prompt Engineers to Help CROs Fix Hidden Revenue Leaks, Keep Customers, and Drive Expansion
John Godel
Oct 13
Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist
John Godel
Oct 13
What Are the Main Components of Context Engineering?
Mahesh Chand
Oct 12
LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)
John Godel
Oct 12
LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps
John Godel
Oct 12
Can You Do Context Engineering Without Prompt Engineering?
John Godel
Oct 12
Difference Between Prompt Engineering and Context Engineering
Mahesh Chand
Oct 12
Context Engineering with Gödel’s AgentOS and Prompt Engineering
John Godel
Oct 11
Context Engineering’s Next 5 Years
John Godel
Oct 11
Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement
John Godel
Oct 11
Context Engineering in the Wild: How We Fixed an Airline Refund Assistant
John Godel
Oct 11
Context Engineering, Right Now: Turning Raw Data into Reliable AI
John Godel
Oct 11
Context Engineering with GSCP-12: From Retrieval to Governed Reasoning
John Godel
Oct 11

Topics

DRY (Don’t Repeat Yourself) Principle Software Development

AI Hallucinations Explained: Inside the Museum of AI Hallucinations | AI Agents Conference 2025

SharpCoder Demo: AI Agents Powering Enterprise Vibe Coding | AI Agents Conference 2025

Seamlessly Read Multiple Excel Files in Databricks Notebook

The AI Gold Rush Is Here, and Most People Are Playing the Wrong Game

Winning with Generative AI and Prompt Engineering

From Junior to Senior Web Developer: What Changes?

The Real Web Developer Roadmap (No Fluff)

Using Micro Frontends for Scalable Web Applications

Entity Framework Core – Database First Approach

What is Agent Engineering: How Modern AI Agents Are Built

What LangChain Polly Is and How It Automates AI Agent Engineering

How to Use AI Agents in an ASP.NET MVC Project (Beginner to Advanced Guide)

Return First: A Clean-Code Mindset

Directly Import a Notebook Into a Microsoft Fabric Workspace

How to Import a Notebook into Your Databricks Workspace (Step-by-Step Guide)

Should Interns Rely on AI Tools for Coding Help or Focus More on Manual Problem-Solving?

Do You Believe AI Can Replace Junior Developer Jobs, or Will It Create New Opportunities?

What Recent AI Trend Excites You the Most as an Aspiring Developer?

Making Money With Generative AI And Prompt Engineering

Making Money With Generative AI And Prompt Engineering

How Large Language Models (LLMs) Work

How to Build AI Prompts in C# 14

AI-driven development with C# 14 and .NET 10 - Best Practices

Power of Prompt Engineering: An AI Native Product Organization in Software Form

6 Types of Filters in ASP.NET Core – Complete Guide (With Examples & Use Cases)

How AI Agents Use Filesystems for Context Engineering

Power of Prompt Engineering: AI Dev Factory - An Agent Team That Builds and Upgrades Software and Itself

How Incident Management and SRE Practices Reduce Production Failures

How Google Maintains Global Reliability at Planet Scale

Introducing GSCP-15: Turning AI Workflows Into Governed, Learning Sessions

Power BI Modeling MCP Server in VS Code

Automated Databricks Continuous Integration and Continuous Deployment using Azure DevOps

Sentiment Analysis with GPT-5 and Python: A Complete 2025 Guide

Can AI Agents Replace Human Jobs or Developers

🤖 Top 5 AI Skills That Can Secure Your Position in a Company (2025 Edition)

Top 50 Prompt Engineering Techniques for Python Developers

FastAPI + LLMs: Building a Scalable AI Backend

Across Tenants Data Integration Using Copy Job

From Prompt Engineering to Proof: How Prompt and Context Engineering Work as One

Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)

Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response

From Developer to Problem Solver: Thinking Beyond Code

How AI Is Transforming the Role of Software Developers

How AI Is Transforming the Role of Software Developers

Why Context Engineering Needs Prompt Engineers to Survive

Operational Prompt Engineering: Turning Prompts into Products

New Fabric Shortcuts Transformations

Automating SQL Query Generation Using LlamaIndex and Snowflake

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

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