Initial Reaction to "The Future of Software Development" TWSoftwareDev26
The author shares observations from the TWSoftwareDev26 retreat, reflecting on discussions about the future of software development, including trends, challenges, and insights gained from conversations with industry peers.
Background
- This post reacts to "The Future of Software Development" (TWSoftwareDev26), a thought leadership piece by ThoughtWorks (a global tech consultancy known for publishing trend reports and the "Technology Radar").
- The author (blogger Herlein) pushes back against a growing narrative in the industry: that AI coding assistants (like GitHub Copilot, Cursor, Claude Code) are making traditional software engineering skills — architecture, testing, debugging — less important.
- Herlein argues this is dangerously wrong: the more AI generates code, the *more* critical human judgment becomes for reviewing, structuring, and verifying that output. AI lowers the cost of writing code but does not reduce the need for deep technical understanding.
- The piece also critiques ThoughtWorks' optimism about "citizen developers" (non-programmers building apps with AI), warning that without engineering rigor, teams will produce unmaintainable systems.
- This belongs to an ongoing debate in tech: as LLMs improve, is software engineering being "democratized" or is its true value shifting from writing code to curating and validating AI-generated code?
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.