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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.

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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering

DEV Community22 Jun 2026

Taming Error Handling in Laravel with Custom Exceptions

When you're building a Laravel application, it's tempting to reach for abort() whenever something goes wrong, let's take a flight booking app. trying to check a user in to a flight: abort(422, 'Passenger has already checked in.'); abort(403, 'Boarding has closed for this flight.'); abort(404, 'Booking not found.'); For a quick controller method, this feels fine. But as your application grows — with services, actions, jobs, and console commands all sharing the same business logic — those abort()

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ExternalSoftware Engineering

DEV Community22 Jun 2026

Bash: Brace expansion

Somewhere in my storage I keep PDF files with random content just for fun, for about six years now. The funny thing was, I was revising its owner/group/user permissions and some of them were with a different permission than the usual. A simple chmod command like the following would do the trick: chmod 600 file01.pdf file05.pdf file09.pdf But, as a developer, some times we just have that itch to spend 30 minutes trying an easier way of doing something that usually takes 20 seconds. Just for the

bashlinuxprogramming

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ExternalSoftware Engineering

DEV Community22 Jun 2026

When SuSiE Says '95% Confident', Is It?

Benchmarking the Honesty of Fine-Mapping Credible Sets Fine-mapping has a promise built into its output, and almost nobody checks whether the promise is kept. When you run SuSiE on a GWAS locus, it hands you a credible set: a small group of variants that, at a stated confidence level like 95%, should contain the true causal variant. That 95% is a claim about reality. Among all the loci where SuSiE reports a 95% credible set, the true causal variant should be inside the set 95% of the time. Is it

bioinformaticsstatisticsdatascience

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ExternalSoftware Engineering

DEV Community22 Jun 2026

The Agent Is the Harness, Not the Model — and Why That Reorganizes Software Engineering

TL;DR — Every AI system decomposes into two things that matter: the model and the harness (the code wrapping it). Claude Code, GitHub Copilot, ChatGPT — those are harnesses, not models. Right now only frontier labs build both halves. That won't last. As harness engineering becomes its own discipline — domain-specialized, model-agnostic — it absorbs most of what we currently call software engineering. The app store becomes the agent store, and our job shifts from writing code for humans to writin

aiagentssoftwareengineering

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ExternalAI

OpenAI News22 Jun 2026