Developer and author Alex Ewerlöf published an essay disputing the claim that 'coding is solved' by AI. He argues that while LLMs make code creation cheaper, they haven't addressed non-functional requirements like maintenance, reliability, security and scalability, which he says make up most of the real cost of production software. He also contends that even basic functional correctness remains unsolved by current AI coding tools.
blog.alexewerlof.com
· 2026-09-28
A developer tested whether repeatedly asking modern agentic LLMs to improve code could yield genuine performance gains, this time using Rust rather than Python. After months of experimentation following the release of Opus 4.5, the author found that these models can produce Rust code significantly faster than current state-of-the-art implementations, provided they are given proper constraints and guardrails.
minimaxir.com
· 2026-09-22
A blog post examines Bend 2, a programming language designed for an AI-assisted workflow where humans write 'laws' and AI writes implementations plus formal proofs that a compiler checks. Using Bend's own homepage demo as an example, the author notes that stating a simple game rule takes 58 lines of code, while the AI-generated proof of that rule balloons to 442 lines. The piece argues this ratio illustrates a broader vibe-coding pitfall rather than being unique to Bend.
blog.liampwll.com
· 2026-09-18
A robotics developer describes attempting to offload the tedious process of visually debugging robot code to an LLM coding assistant equipped with an image encoder and MCP server access to a visualizer tool. The experiment largely failed: the assistant lacked an intuitive sense of what correct robot behavior looks like and struggled to navigate the debugging GUI, taking minutes to reach a viewpoint the developer could reach in seconds.
claytonwramsey.com
· 2026-09-03
GoKawiil