Anthropic’s Code with Claude showed off coding’s future—whether you like it or not
Autonomous AI coding is normalising rapidly in tech — APS agencies need to consider what human oversight of AI-generated code actually means in practice.
Key points
- Anthropic's Claude Code now ships pull requests autonomously, with most Anthropic software written by Claude without human review.
- A new 'dreaming' feature allows coding agents to consolidate notes across tasks, improving performance on familiar codebases over time.
- APS agencies relying on software procurement or in-house development should be alert to what 'AI-written code' means for assurance and auditability.
Implications for Australian agencies
- Consider APS agencies with in-house software development or vendor-delivered digital products may want to consider whether existing code review and assurance practices are adequate when AI generates code without human inspection.
- Monitor Policy and risk teams could monitor how major vendors' adoption of autonomous coding agents affects software supply chain risk, auditability, and accountability claims in government procurement contexts.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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Weekly digest, 18 May 2026
"Anthropic’s Code with Claude showed off coding’s future—whether you like it or not"
Source: MIT Technology Review – AI
Published: 21 May 2026
URL: https://www.technologyreview.com/2026/05/21/1137735/anthropics-code-with-claude-showed-off-codings-future-whether-you-like-it-or-not/
At Anthropic's Code with Claude developer event, the company demonstrated how far autonomous AI coding has progressed. Most software at Anthropic is now written by Claude Code, often without human review of the underlying code. Anthropic's stated goal is for Claude to self-check and self-correct, removing humans from the error-resolution loop entirely. A newly announced 'dreaming' feature enables coding agents to build institutional memory across tasks on a given codebase, improving over time. This signals a shift in what software development — and developer accountability — looks like across the industry.
Implications for Australian agencies:
- [Consider] APS agencies with in-house software development or vendor-delivered digital products may want to consider whether existing code review and assurance practices are adequate when AI generates code without human inspection.
- [Monitor] Policy and risk teams could monitor how major vendors' adoption of autonomous coding agents affects software supply chain risk, auditability, and accountability claims in government procurement contexts.
Retrieved from SIMS, 18 July 2026.