Native computer-use capabilities, two kinds of errors, and auto-generating types from OpenAPI specs. Plus, see GitLab guide, six rules for company goals, coding agents tips, tools, and more.

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Welcome, Developers! πŸ‘‹

This week: understanding expected versus unexpected errors in software, OpenAI's GPT-5.4 with native computer-use capabilities, automating React development with OpenAPI specs, rethinking human-AI collaboration through workflow harnesses, and why AI still struggles to penetrate complex enterprise business processes despite strong adoption signals.

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πŸ”– The Reading Room

Articles we have hand-picked for you:

The Two Kinds of Error

Errors in software fall into two distinct categories: expected and unexpected. Expected errors happen during normal operation (like invalid user input or network failures), aren't the developer's fault, and should be handled gracefully through error results. Unexpected errors indicate bugs in the code and should be allowed to crash, making problems visible and software more reliable long-term.

By Evan Hahn β†’

Introducing GPT-5.4

GPT-5.4 is OpenAI's first general-purpose model with native computer-use capabilities, allowing agents to control desktops and complete complex workflows across applications. There's a price increase ($2.5/1M input and $15/1M output now) but it comes with improvements in reasoning, coding, and agentic workflows. A Pro variant is also available for users who need maximum performance on the most demanding tasks.

By OpenAI β†’

Life's Too Short to Hand-Write API Types: OpenAPI-Driven React

​This guide shows how to make your OpenAPI spec the single source of truth by auto-generating types, clients, and validation schemas with Hey API. You'll set up network-level mocks with MSW so your team can build features against realistic API behavior without waiting for backend deployment, plus wire everything into React with Nanostores for declarative state management.

By Yuri Mikhin & Travis Turner β†’

Humans and Agents in Software Engineering Loops

​Should developers micromanage AI-generated code or step back entirely? Kief proposes "on the loop" thinking: humans should focus on building and managing the workflow harness rather than inspecting every line of code. Continuously improving the agent harness produces better results than manual gatekeeping. The agentic flywheel enables agents to improve their own processes based on performance signals.

By Kief Morris β†’

OpenAI COO 'We Have Not Yet Really Seen AI Penetrate Enterprise Business Processes'

Despite launching OpenAI Frontier for enterprise agent management, COO Brad Lightcap admits AI hasn't truly penetrated complex business processes at scale. While OpenAI ended 2025 with $20B+ in annualized revenue and strong demand, enterprises remain reliant on traditional software like Slack. The company is now partnering with consultancies like BCG and McKinsey to drive enterprise adoption and measure success through business outcomes rather than seat licenses.

By Ivan Mehta β†’

⏳ Back in Time

Most clicks from last newsletter:

πŸ”— The Link Lounge 

Unordered finds from around the web:

Find something cool? You can send us links to feature here via email.

🧰 The Toolbox

Tools and products we're excited about today:

Ruflo 

Ruflo is an enterprise AI orchestration platform that transforms Claude Code into a multi-agent development system. It deploys 60+ specialized AI agents in coordinated swarms with self-learning memory, supports 6 LLM providers with automatic failover, and reduces token costs by 30-75%.

Learn more β†’

Shannon Lite

Shannon is an autonomous AI pentester for web apps and APIs. It analyzes source code, executes real exploits (SQLi, XSS, SSRF, Auth bypass), and only reports vulnerabilities with working proof-of-concept evidence to eliminate false positives.

Learn more β†’

Anything API

Anything API by Notte turns any website into a deployable API endpoint using browser agents. Describe a task, and it auto-builds a custom function you can run serverlessly, schedule via Cron, or call via API.

Learn more β†’

Claude Marketplace

Claude Marketplace lets enterprise customers use their existing Anthropic commitment to pay for Claude-powered third-party tools. It simplifies procurement, consolidates AI spend, and offers enterprise-ready partners like GitLab, Harvey, Snowflake, and Replit.

Learn more β†’

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Cloudflare blocked you again. DataDome scored you 0.97. You spent the weekend on infrastructure instead of features.


Evomi's Scraper API handles all of it. One API call β€” auto-bypass for Cloudflare, DataDome, and PerimeterX, JS rendering included, native n8n integration. No proxy management. No CAPTCHA solving. Just clean data.


$0.14/1K requests. 70% cheaper than alternatives. 99.9% uptime.


Start with 250,000 free scrapes. No credit card. Swiss-made, EWDCI certified.

Claim 250,000 Free Scrapes β†’

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