AI Is Rewriting Software Development: What This Week's News Means for Your Business

If you've felt like the ground keeps shifting under software development this year, you're not imagining it. New model releases, big acquisitions, fresh funding rounds, and another wave of layoffs all landed in the same stretch of days. Here's what happened, and — more importantly — what it actually means if you're running a business that depends on software getting built well and fast.

Claude Sonnet 5 goes live in GitHub Copilot

Anthropic released Claude Sonnet 5 on June 30, offering agentic performance close to its flagship Opus 4.8 model at a fraction of the cost, with introductory pricing running through August 31. It's now generally available inside GitHub Copilot alongside Kimi K2.7, giving developers direct access to multiple frontier models without ever leaving their editor.

For businesses, this matters because the cost of high-quality AI-assisted development keeps dropping while the quality keeps rising. Teams that were priced out of top-tier AI coding tools six months ago now have a much lower barrier to entry.

OpenAI acquires Ona to build persistent coding agents

OpenAI bought German startup Ona (formerly Gitpod) to give its Codex tool persistent, cloud-based agent operation. Codex has already crossed five million weekly users, and this acquisition signals where the real competition is heading: not just writing code, but running autonomous agents that operate continuously in the background.

That shift — from "assistant that suggests code" to "agent that keeps working while you're not watching" — is going to change what clients expect from a dev shop's turnaround time.

$135M flows into enterprise AI coding

Chamath Palihapitiya's enterprise AI coding venture, 8090, closed a $135 million funding round this week. It's the latest data point in a much larger trend: CB Insights has tracked $3.8 billion in funding for AI coding startups since 2024. Investors clearly believe enterprise-grade AI development tooling still has a long way to run.

If you're evaluating vendors or partners for a software project, expect the tooling landscape to keep evolving quickly — today's cutting edge may be table stakes within a year.

AI assistants are quietly picking your tech stack

GitHub's Octoverse report describes a "convenience loop" where AI coding assistants are steering language choice across the industry — TypeScript usage jumped 66% to take the #1 spot, reflecting a broader move toward static typing in AI-assisted codebases.

This is worth knowing if you're commissioning custom software: the tools your developers use are increasingly shaping technical decisions that used to be purely a human call.

Low-code is set to dominate new app development

Analysts project low-code and no-code platforms will account for 75% of new application development, up from just 40% in 2021 — with the low-code market growing from $37.4 billion in 2025 toward a projected $264.4 billion by 2032.

That doesn't mean bespoke software is going away. It means the bar for "custom development" is rising: businesses will increasingly reach for low-code first, and reserve custom-built software for the problems that genuinely need it — which is exactly where a skilled dev partner adds the most value.

Layoffs continue, and AI is the reason cited most often

2026 has already seen 267 layoff events and roughly 186,000 tech jobs cut, including fresh cuts at Nike (1,400 roles, mostly in technology) on top of earlier reductions at Oracle and Wix. Companies increasingly point to AI absorbing coding, support, and content tasks as the driver.

One side effect worth watching: a wave of experienced engineers leaving large companies is fueling more freelance and boutique-agency development work — which is reshaping who businesses turn to for their next build.

What this means for you

Software development is getting faster, cheaper, and more automated at the tooling layer — but that raises the value of good judgment about what to build, not just how to build it. Whether you're choosing between low-code and custom development, evaluating an AI-savvy dev partner, or just trying to keep up with which tools are worth adopting, the businesses that win this cycle will be the ones that pair the new tooling with a clear strategy.

Dandora helps businesses make that pairing deliberately — strategy, brand, and software under one roof. We scope what deserves custom engineering, integrate AI tooling where it actually accelerates delivery, and ship products clients can rely on. When the ground keeps shifting, you need a partner that plans the build before writing the first line of code.