SShortSingh.
Back to feed

Developer shares three hard-won fixes for Playwright, Camoufox, and Apify bugs

0
·1 views

A developer building a keyword-based government data portal monitor using Playwright, Camoufox, and Apify encountered three time-consuming bugs while deploying the project. A silent version mismatch caused every run to fail, and the fix was pinning Playwright to version 1.60.0 rather than matching the version number in the base image tag. An intermittent hang on text input interactions was resolved by replacing the standard click-then-type pattern with Playwright's fill() method, which handles focus internally without dispatching a raw mouse click. Additionally, Apify's automated daily Actor tests silently flag a project as 'Under maintenance' if it returns an empty dataset on two of three consecutive runs, even when the run itself completes successfully. The developer recommends choosing a broad default search keyword to ensure results are almost always returned and avoid unexpected de-listing from the Apify Store.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Google's Build with Gemini Tokyo Workshop Showcases AI Agent Development Tools

Google hosted a two-day hands-on workshop in Tokyo called Build with Gemini, focused on building and deploying AI agents using tools including ADK (Agent Development Kit) and Agents CLI. Participants worked through the full development workflow, from creating agents locally to deploying them on Google Cloud. The workshop highlighted how combining Antigravity, ADK, and Agents CLI allows developers to delegate large portions of the development process — including implementation, testing, and deployment — to AI using simple natural-language instructions. Attendees noted this represented a significant shift from traditional spec-driven development, where AI is guided through detailed, step-by-step instructions. The event offered developers a new perspective on AI-assisted workflows and the growing capabilities of agent-based development frameworks.

0
ProgrammingDEV Community ·

Linear and Cursor Adopt Meta's StyleX as AI Agents Drive CSS Tool Choices

In late August 2026, developer tools Linear and Cursor announced they were migrating to Meta's StyleX, with Cursor dropping Tailwind and Linear moving away from styled-components. The shift is largely driven by how well StyleX works with AI coding agents, as it compiles JavaScript style objects into atomic CSS and enforces typed tokens and compiler errors that help agents self-correct without human intervention. Unlike Tailwind's utility classes, which language models can hallucinate or misapply, StyleX's strict constraints reduce the chance of agents generating invalid or non-existent styles. Meta's own benchmarks also claim StyleX can reduce CSS bundle sizes by up to 80% in large applications, making it attractive on performance grounds as well. The trend signals a broader shift in how developers evaluate frontend tooling — increasingly factoring in agent compatibility alongside traditional developer experience.

0
ProgrammingDEV Community ·

How 4wp.dev Applied SOLID Principles Across Its WordPress Plugin Catalog

Developer platform 4wp.dev has published a self-assessment examining how its WordPress plugin catalog measures up against the five SOLID software design principles. The team structured its product line as separate plugins — including 4WP-Booking, 4WP-FAQ, 4WP Smart Link, and others — each with a distinct purpose, sharing only infrastructure through a shared bundle rather than features. 4WP-Booking was architected around a provider contract from the outset, allowing new booking integrations like Google Calendar or Calendly to be added as extensions without modifying core booking logic. The FAQ plugin separates data storage from display, with each front-end block consuming only the data it needs rather than relying on a single bloated interface. The writeup positions SOLID not as abstract theory but as practical habits already aligned with how WordPress developers use hooks, filters, and custom post types.

0
ProgrammingDEV Community ·

Developer Rebuilds RAG Pipeline Without LangChain, Finds Tradeoffs in Control vs Convenience

A software developer rebuilt a production-grade Retrieval-Augmented Generation (RAG) pipeline from scratch after finding that LangChain's abstractions made it difficult to diagnose incorrect but plausible-sounding answers. The core issue was that hidden pipeline layers obscured why retrieval favored wrong or outdated documents, making debugging slow and indirect. Removing LangChain improved retrieval control, observability, evaluation, and cost discipline by making each pipeline stage explicit and inspectable. However, the shift also introduced more manual work, including document loading, integration maintenance, and writing glue code that frameworks typically handle automatically. The developer's current approach recommends using high-level tools for prototyping but taking direct ownership of the retrieval core when answer quality is critical to the product.