Developer reports AI generates 99.9% of code but engineering work shifts to orchestration
A developer describes a transition from manually copying snippets into ChatGPT to planning, orchestrating, and validating AI agents across a seven-person team. The post argues that while AI now generates nearly all code, the engineering work has not disappeared—it has shifted to higher-level tasks.
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Software engineers adapt to AI disruption by returning to basics and collective action
The advent of AI has disrupted software engineering, leading to layoffs and underemployment. Engineers like Matt are returning to hands-on coding projects to keep skills sharp, while others push for collective action to navigate the changing landscape.
Developer recounts AI-assisted coding pitfalls after building 4 products in 3 months
A developer built four products almost entirely with AI over three months. Three turned out fine, but one became an unmaintainable mess requiring a complete rewrite. The developer blames their own iterative prompting approach, which layered patches without architectural foresight, leading to a fragile codebase that neither they nor the AI could later fix.
Developer builds open-source 'manager' pattern for AI coding agents, cutting costs 35-41%
A solo developer implemented a pattern from Cognition (the Devin team) where an expensive frontier model acts as a 'manager' that plans and reviews code changes but cannot edit files directly, delegating all mechanical work to a cheaper, faster model. The approach, published as open source for the opencode terminal coding agent, reportedly reduces costs by 35-41% while maintaining quality.
R&D team frustrated as intern uses AI to generate flawed code, reducing productivity
An R&D team reports that a new intern with shaky fundamentals is using AI to generate code that looks substantial but is deeply flawed, requiring significant review effort and reducing overall team productivity. The post highlights growing frustration with 'vibe coding' among junior developers.
Harness engineer reports easy creation of complex AI agents for multi-step automation
A harness engineer on Reddit describes how they can now create agents in hours that automate long, multi-step workflows, including generating an AI video series where each character is sourced from five different models. The post highlights the growing accessibility of agentic AI for practical automation.