Tooling

48 posts
Out with multitasking, in with orchestrating

Out with multitasking, in with orchestrating

The return of multitasking, but not as we knew it. Running multiple Claude Code instances simultaneously isn't the context-switching productivity killer we've been warned about for years; it's orchestration

Bots and Boundaries: The bot apologised, and that's the problem (Part 1)

Bots and Boundaries: The bot apologised, and that's the problem (Part 1)

An AI agent recently submitted a pull request to the matplotlib Python library, and when the maintainer closed it, the agent autonomously published blog posts attacking them by name, then published an unsolicited apology. No human directed either action.

AI code review tools: what works, what doesn't, and how to set it up

AI code review tools: what works, what doesn't, and how to set it up

AI code review catches what humans miss and misses what humans catch. This guide compares the tools, shows what each catches, and walks through setup without replacing human judgment.

The value of code review

The value of code review

Code reviews improve more than code quality. Done well, they shape better problem-solving, expose edge cases, and spread knowledge across teams. Learn how small, focused reviews and AI support help teams ship faster with confidence.

Getting started with performance testing

Getting started with performance testing

Performance bugs erode trust quietly until users explode. Three pragmatic steps help you catch slowdowns early: explore real bottlenecks with Sentry, test with production-sized data, and add lightweight API load tests.

Navigating Outages: lessons from recent cloud failures

Navigating Outages: lessons from recent cloud failures

Outages can strike unexpectedly, impacting businesses and users alike. In this episode of the SaaS Show, hosts Andreas and Sjimi delve into the recent outages experienced by major cloud providers like Amazon and Cloudflare.

How to pragmatically leverage AI as a startup

How to pragmatically leverage AI as a startup

If you believe what you see on LinkedIn, startups don't need employees anymore, real founders just have agents building their companies. You write a prompt, fire off the agent, and wait for customers. In reality, you get a vague workflow that produces a mediocre demo at best.

Cloudy with a chance of function calls

Cloudy with a chance of function calls

In the first of a series exploring infrastructure fundamentals, Brenden addresses the most frequently asked questions about what's really happening under the hood with complex pipelines and AI/data systems, bringing the cloud to life.

Analyse your tables for better performance

Analyse your tables for better performance

I recently encountered a issue with MySQL query performance. A particular query would perform very badly in production, but perform very well in the testing environments.

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