A developer argument circulating online contends that Clojure's live REPL environment is well suited to working with AI coding agents. The piece argues that because Clojure allows functions to be redefined in a running process without recompiling or losing state, both humans and AI agents can test and verify generated code far faster than in languages requiring full rebuilds. It also argues that Clojure's declarative, data-centric style maps better to the high-level reasoning that language models struggle with, compared to imperative code which models can already write well.
yogthos.net
· 2026-10-08
A technical blog post examines why adding two-decimal numbers like currency values in floating-point arithmetic sometimes produces exact results and sometimes rounding errors. The author visualizes which pairs of multiples of 0.01 (up to 1.00) sum correctly versus too high or too low, revealing a structured pattern, and explains the underlying cause using IEEE double-precision float representation (sign bit, exponent, and fraction bits).
blog.vero.site
· 2026-09-29
Security researchers at Accomplish AI discovered two ways to break out of the sandbox that isolates OpenAI's Codex coding agent from a user's system. The worse of the two, dubbed Heapjack, let a malicious repository trigger unsandboxed code execution on a victim's machine simply by having Codex answer a question about that repo's code, with no approval prompt or visible warning. Both bugs were reported to OpenAI on August 12 and patched within eight days.
bleepingcomputer.com
· 2026-09-20