Category: Engineering
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How helloparts automated PDF order intake with Claude
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With Claude, helloparts: At GoTeams, the AI delivery practice of GoGroup GmbH, we build production AI features for our partners. helloparts, the intelligent purchasing platform operated by GoParts Technology GmbH, lets automotive parts professionals order across brands from their preferred suppliers. They came to GoTeams with a problem hiding in plain sight: a share of…
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AWS RDS Point-in-Time Recovery (PITR): The Complete Developer Guide
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A developer-friendly guide to the AWS RDS feature that will save you one day TL;DR: AWS RDS Point-in-Time Recovery lets you restore your database to any second in the past by replaying the Write-Ahead Log on top of daily snapshots. The default backup retention is 1 day – change it to at least 7 immediately.…
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MCP Code Execution vs. Direct Tool Calling: How AI Agents Should Actually Use MCP
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TL;DR: Letting AI agents write and execute code instead of making direct MCP tool calls reduces token usage by up to 77% with no drop in task success rate. Anthropic, Cloudflare, and the open-source community are all converging on this pattern independently. Why AI agents should write code instead of calling tools – and how…
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From Claude to Browser, Live: How to Stream AI Estimates in Real Time
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There is a very specific kind of frustration that comes from staring at a loading spinner. You have submitted something. The page is doing something. You are not sure what. You do not know if it is 10% done or 90% done. You do not know if it crashed. You are just sitting there, watching…
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Driving Claude Code in Production: A Practical Playbook
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Most engineers pick up Claude Code and use it like a faster autocomplete. Bugs get fixed. PRs get out. It works fine. The actual leverage does not show up until you change how you are using it, and that change is mostly about habits, not prompts. The teams getting outsized results are not running a…
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How TrustSpace cut ISMS audit report drafting from 4 hours to 20 minutes with Claude
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At GoTeams, the AI delivery practice of GoGroup GmbH, we build production AI features for our partners. TrustSpace, which helps companies achieve and manage compliance with ISO 27001, TISAX®, and NIS-2 by combining an ISMS platform with expert consulting, came to us with a problem that gets worse as you grow: one core part of…
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How to Find the Commit That Broke Everything: And How Git Bisect and Claude Code Saved the Day
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“It worked last week.” Those four words signal the start of a debugging session nobody wants. A bug appeared, production is affected, and somewhere in the last few hundred commits lives the one change that caused it. Most engineers start guessing. The right move is to stop guessing and let a binary search do the…
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Building an AI Agent That Lives Inside WhatsApp – For Shopkeepers Who Never Needed a CRM
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A lot of small shopkeepers in Tier 2 cities in India are not particularly tech-savvy. Modern CRMs and inventory tools are built around an assumption that does not always hold for them – that the user is comfortable navigating dashboards, menus, multi-step forms, and English-first interfaces. Most of the business owners I have spoken to…
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Building a Website Directly from a Smartphone: From Text Prompt to Live GitHub Pages URL Without Touching a Keyboard
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The goal of this practical test was to see how far a local AI agent could go on a single instruction. A concrete scenario was chosen: building a complete website without ever touching a keyboard. After opening Telegram, the following message was sent: “Hey, build a website for my cafe. Make it look aesthetic. Design…
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AI-Native Engineering: Mastering Modern Prompt Design
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TL;DR: AI-Native Engineering Quick Summary What is AI-Native Engineering and Development? AI-native engineering and development represents a fundamental paradigm shift where software development workflows pivot from manual code syntax generation to algorithmic specification, verification, and automated review execution. Historically, writing code was the primary structural bottleneck because reading code was operationally cheap while manual input…