Every dispatch, page 7.
The complete field journal, oldest to newest across numbered pages. For the latest dispatches with filters, start at Thinking.
Bridging Legacy and Modern: How We Connected iMIS and Drupal Without Full Data Migration
<h2>The Problem Wasn't the Platform, It Was the Data</h2> <p>When a mid-market safety association—a 200-person organization managing thousands of members, certifications, and compliance records—decided to replatform from an aging Kentico CMS to Drupal, they faced a decision point that many digital leaders encounter but few talk about openly: do we migrate everything, or do we build a bridge?</p>
15 Minutes from Bug to Merged PR: Building an Autonomous Incident Response Pipeline
<p>The incident response cycle at most engineering organizations looks roughly like this.</p>
Engineering A Dynamic Real-Time Pattern Detection Engine
<h2 class="hide-heading">Introduction</h2> <p><span>Enterprise data systems are expected to be both stable and adaptive.</span></p>
The 35-Hour Work Week: All We Need To Know
<h2 class="hide-heading">Introduction</h2> <p>In today’s fast-changing world, digital leaders find it tough to keep their engineering teams up-to-date.</p>
The Problem Nobody Talks About With AI Coding Assistants
The Context Problem With AI-Assisted Development Every AI coding session starts the same way. You open the tool. You explain your project's stack. You describe your config management rules. You remind it not to touch settings.php. You tell it about your Jira workflow, your branch naming conventions, your test framework.
One Engineer, One Hackathon, 1,500 Hours Erased: How We Automated Migration Audits For A 500-Site Drupal Fleet
The Problem No One Had Time To Solve Manual pre-migration audits for large Drupal fleets are one of the most time-intensive bottlenecks in enterprise CMS migration projects. Here is what a pre-migration audit looked like for a 500-site Drupal fleet migrating to Acquia ACSF:
We Had Thin Test Coverage Across Three Codebases. One AI Session Changed The Standard.
How a technical lead used AI and real bug data to generate comprehensive test suites across NextJS, Strapi, and Magento, then made it the team's new baseline. The short answer: A technical lead connected Claude to a live Jira bug backlog via MCP and generated unit, integration, and error-handling tests across NextJS, Strapi, and Magento in a single session — growing the project's spec file count from roughly a dozen E2E files to over 40 targeted specs and eliminating recurring regression categories within two sprints. This is the exact approach, including what the AI still cannot do without human verification.
Stop Asking "What Tool Exists?"And Start Asking "What Tool Should Exist For Me?"
Building A Superior n8n Setup In the current AI-First mindset, the most expensive mistake isn't using the wrong tool. It's accepting whatever tool is in front of you and shaping your work around its limits.
How We Rebuilt Our IPL Prediction Game With Claude In 2026
Introduction Every IPL season, our team at Axelerant runs an internal prediction game. Colleagues pick match winners, answer bonus questions, and taunt and poke fun at each other on Slack; team loyalties are serious business in the cricket channel. We actually blogged about this some time ago.
Cloud Cost Reporting For Finance And Engineering On AWS
When a CIO can't tell which department consumed which service, every dollar lands on IT. The fix isn't another FinOps tool. It's a data engineering pipeline that normalizes fragmented billing data into structured financial intelligence.