How the Datadog MCP server can help improve IT operational insight and observability

The shifted operation model and MSPs in the AI Age

How to perform a structured evaluation of AI conversational solutions

Reimagining API modernization with deterministic AI-assisted engineering

Casper: Helping developers work effectively with coding assistants

Last week in AI | 23 March

Beyond vibe coding: The five building blocks of AI-native engineering

The hidden pearls of TDD

SRE is entering a paradigm shift

Using AI to build a GenAI bot for logistics teams at a major retailer

Preparing your team for the agentic software development life cycle

Document processing isn't one problem — it's three

Reflections on the Future of Software Engineering Retreat

Where does the rigor go?

So, you want to run OpenClaw?

Cognitive leakage and the human consequences of software abstractions

The Model Context Protocol's impact on 2025

Spec-driven development: Unpacking one of 2025’s key new AI-assisted engineering practices

Infusing trusted AI coding assistants into SRE investigation

11 things on Technology Radar Vol.33 that aren’t at all related to AI

AI for Ops vs. Ops for AI

How Apache Iceberg helps tackle data lake coordination challenges

Anthropic's AI espionage disclosure: Separating the signal from the noise

We built a chatbot for a conference in three weeks — here’s how

AI assistance is a misunderstood revolution in software engineering — here’s why

How to build an AI-ready knowledge base: Migrating data from Confluence to Azure

From vibe coding to context engineering: 2025 in software development

The Age of Intent: From prototype to transformation

How Terraform’s partial backend configuration enables infrastructure automation at scale

Why context engineering is like teaching AI to skip stones

How prompt fencing can tackle prompt injection attacks

The interface is dead. Time for the age of intent

Beyond vibe coding: How AI can transform pull requests

Min-p sampling for LLMs

Bridging the SRE gap: Towards autonomous observability and RCA

Tackling MCP security challenges with the MCP API delegation pattern

How to cultivate trust with AI coding assistants

Context engineering: How to give AI exactly what it needs

AI isn't just a coding partner — it can be a deployment partner, too

From alert fatigue to AIOps: Building a proactive observability stack with Datadog on EKS

AI evals for MCP in AIOps

AI-generated test cases from user stories: An experimental research study

Can we use generative AI to generate test cases from user stories?

Deep Kernel-level AI RCA with MCP

How AI and a test-first approach can tackle modernization trade-offs

Kimi K2: What’s all the fuss and what’s it like to use?

Context-aware incident handling with MCP: A strategic view with a practical case

The dangers of AI agentwashing

How MCP can help us investigate security incidents faster

Fuzz-testing in the AI era: Rediscovering an old technique for new challenges

Agentic AI at work

Durable computing: Making it easier build resilience into distributed systems

Do developers need to think less with AI?

AI beyond productivity: How product leaders are driving a paradigm shift by integrating AI workers

How AI is reshaping IT operations: From firefighting to intelligent evolution

Unleashing potential: The business benefits of AI-first software engineering

Blackbox reverse engineering: Can AI help rebuild an application without accessing its code?

Using RAG in a virtual assistant application

Beyond the algorithm: Overcoming hidden barriers to data and AI success

Semantic search and retrieval using transformers

The next frontiers in AI — according to industry leaders

Unlocking innovation through modern application development

Modernization, sustained: AI-driven operations in action

Google I/O 2025: What were the key takeaways?

Why MCP is critical for AI-driven SRE

Level up your developer experience: Five practical strategies for engineering teams

How to improve AI outputs using advanced prompt techniques

The Model Context Protocol: Getting beneath the hype

Decoupled by design: Building reusable enterprise libraries and services

Rewriting the outcomes: How Thoughtworks and Mechanical Orchard are transforming mainframe modernization

Putting AI to work in Accessible tech

Calculating uncertainty in generative AI

The future of data is semantic

Can vibe coding produce production-grade software?

Quality-driven transformation: The strategic role of the QA in modernization

AI agents don't have to be a security nightmare

Infrastructure as code: Where are we today?

AI on Technology Radar Vol.32

Drive your AI-enabled future forward with synthetic data

Four retrieval techniques to improve RAG you need to know

Unlocking innovation: Practical strategies for driving business value with Gen AI

Can AI drive the next evolution of data mesh?

Our experiment with GitHub Copilot: A practical guide for development teams

The machines are rising — but developers still hold the keys

How to evaluate an LLM system

Infrastructure as code

The seven deadly sins of AI transformation: Lessons for enterprises

Using scenario modeling for long-term investments

Claude Code saved us 97% of the work on the first try. Then it failed utterly.

Evaluating LLMs using semantic entropy

Drive data and AI success with Team Topologies and Data Mesh

How much faster can coding assistants really make software delivery?

The leaders' guide to cloud economics

Software architecture decisions: who should be involved?

Demystifying DeepSeek

Powering the energy transition: Why IT modernization can't wait

Data hoarding vs data offboarding? Why letting go matters

Data spaces meet data mesh: Enabling secure, standardized inter-organizational data sharing

Driving value with Data Governance through Thin Slices

LLM benchmarks, evals and tests: A mental model

Cypress: Should we apply the page object model to optimize the framework?

Reckoning with generative AI’s uncanny valley

Humanizing your data strategy: Seven key ideas for the AI era

Putting MLOps into practice effectively with the help of Databricks

Driving innovation at Thoughtworks: The Power of Hackathons

Large language model evaluation: The key to GenAI success

Using AI for requirements analysis: A case study

Better technology decision-making is underpinned by ‘sensible defaults’

The missing piece of agile transformation: Effective change management through value slices

Author Q&A: Engineering Effectiveness to Business Outcomes

Lessons from CrowdStrike: Striking the right balance to reduce risk and maximize resilience

Kickstart your legacy modernization initiative with generative AI

Driving innovation in social services with Amazon Bedrock

Leveraging GenAI to modernize enterprise systems integration

Post-quantum cryptography: An illustrated guide

Unlock your organization’s AI value: From proof of concept to real-world impact

After CrowdStrike: Navigating the path to digital resilience

Testing the EV ecosystem [part two]

Testing the EV ecosystem (part one)

Why test-driven development and pair programming are perfect companions for GitHub Copilot

How to succeed with AI-driven dynamic pricing practice

Anonymesh: How can it help us ensure data privacy?

Mastering your healthcare supply chain: Data and AI's strategic role

Say goodbye to break-and-fix patches: Future-fit maintenance requires a proactive approach

Ineffective scaled agile: How to ensure agile delivers in complex systems

The step-by-step guide to quickly realizing value from data mesh

Let's Play Singularity: A Card Game for Exploring AI Governance Risks

Data products: how to get more value from enterprise data

Integrating event-driven microservices with request/response APIs [Part four]

Thin Events: The lean muscle of event-driven architecture

Integrating event-driven microservices with request/response APIs [Part three]

Author Q&A: Effective Machine Learning Teams

A practical framework for embracing product maturity

Continuous Compliance, an agile practice for functional safety assessment in automotive applications

An illustrated guide to the Advanced Encryption Standard (AES)

Navigating the landscape of AI tools for software delivery

Maximizing the value of cloud with FinOps

Integrating event-driven microservices with request/response APIs [Part two]

Event-driven Microservices with Request/Response APIs - Part One

Data replication: The first step toward value-driven mainframe modernization

Tackling AI risks: Your reputation is at stake

Getting traction with Data Mesh

10 recommendations for a successful enterprise data mesh implementation

Why multi-cloud rationalization matters

Leveraging data as a product: A strategic imperative for business leaders

How to overcome tech debt and keep your business moving

AI with impact: What enterprise leaders can learn from Thoughtworks’ Jugalbandi project

AI agents unleashed: a new era of efficiency

Tackling the challenges of using event-driven architecture in a billing system

What benefits does SwiftUI offer for building a design system?

An illustrated guide to green software engineering

Navigating the geometry of language: A new approach to synthetic text generation