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1291 summarised stories about Developer Tools, each linking back to the original source. Browse all topics →

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Thursday, 10 September 2026

Shopify spent years on React Native — then rebuilt everything in 12 weeks

The New Stack 1 month ago 38 ● 2 sources

Shopify is dropping its cross-platform React Native approach and rebuilding its mobile apps using full native development with AI agents handling much of the work. Shop said its consumer Shop app moved from proof of concept to a native production release in 12 weeks. Shopify has introduced an internal Helix system that migrates screen-by-screen, adds automated comparisons and pre-merge reviews, and changes testing workflows by using a desktop CLI so agent checks can run in milliseconds.

Accordio

Product Hunt 1 month ago 7

Accordio AI announced its 3rd launch, offering a free MCP connector that lets Claude use tools for time tracking, signing contracts, sending invoices, and getting paid. The page highlights “12 Months Free” via Customer.io. As a result, users can connect Claude and other agents to Accordio’s workflow features at no cost for the connector and with a separate 12-month promotion.

Jackalope

Product Hunt 1 month ago 24

Jackalope is launching a shared workspace that brings Codex, Claude Code, Grok, and OpenCode together. It goes live today and is described as already having 36 followers. The change is that tasks can run in parallel with shared project context, model/tool selection, and usage/quota tracking across agents and multiple accounts, via an open-source, cross-platform setup.

Schools are catching on to Big Tech’s playbook

The Verge 1 month ago 29 ● 3 sources

Tech companies have pushed into classrooms with their own coding-and-AI learning pitches, extending influence over school curricula rather than just providing optional resources. The New York Times reporter Natasha Singer traces this strategy back 15 years in her book, Coding Kids. As a result, schools are increasingly shaped by industry-backed “catch up” programs on how students should learn to use these tools.

Stop AI code sprawl before it destroys your software design

The New Stack 1 month ago 39 ● 8 sources

The article argues that AI code generators can create architecturally wrong but functionally correct code, causing a growing gap between what gets written and what humans understand about the system. It highlights a concrete example where a Python AI agent could exceed boundaries like billing importing from shipping, which is blocked by running pytest-archon in CI with rules such as “billing*” should_not_import “shipping*” after installing it via pip. It recommends shifting from documentation to “executable architecture” by adding automated boundary tests (and complexity/interface checks) so CI fails and feeds results back to the AI for fixes without relying on human reviewers.

AI floods security teams with flaws — business context sets priorities

The New Stack 1 month ago 16

AI tooling and security scanners are producing far more vulnerability findings than security teams can realistically triage, making it hard to tell what a real compromise would cost. One described outcome is reducing thousands of alerts down to 10 to 20 prioritized tickets by using business-aware prioritization instead of raw severity scores. Teams increasingly depend on external triage partners and framework-based reachability, consequence, and exploit signals to decide what to fix first and manage backlog risk explicitly.

chat-recall

Product Hunt 1 month ago 51

chat-recall launches to turn separate records from AI coding assistants into one searchable history that can be queried in one place. It launched today and is shown with 32 followers. Passwords are extracted before data leaves your computer, and the assistant searches locally to reduce repeat questions and to detect still-working leaked keys from old chats.

Rebuilding AUTOMATIC1111 with Gradio Workflow

Hugging Face 1 month ago 37

Workflow1111 rebuilds most of AUTOMATIC1111’s stable-diffusion-webui features as a single Gradio workflow canvas with 11 media pipelines. It contains 73 nodes across those pipelines and includes an example where a ViT classifier reports labels such as “restaurant 51.9%”. The result is a web canvas that can run multiple diffusion, LLM/VLM, detector, inpainting, and video steps under per-user Hugging Face quota, while exposing each output as REST endpoints and MCP tools that can be called from other apps.

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