“Kelley describes why he created Zig, when other options including C, C++, Rust, and Go already exist. He said he set out to develop a digital #audio workstation. He tried Go, but found interoperability with C libraries difficult, and said the garbage collector caused audio delays. He tried C++, or coding C-style using a C++ compiler, but found that small mistakes led to memory corruption bugs that took weeks to fix. He tried Rust but "really struggled to write code that would satisfy Rust's rules," and spent a month trying to make font rendering work”

“The #Zig project is known for its #NoAI policy, set out in the code of conduct… Another negative for #AITooling is that it is #NonDeterministic and therefore its output always needs review, even for something as simple as refactoring the name of a function. Kelley prefers #deterministic tools in which he can have full confidence.“

#Software / #Languages / #AndrewKelly <https://www.theregister.com/software/2026/05/28/zig-creator-seeks-uncompromising-perfection-before-blessing-10/5247916>

Zig creator seeks 'uncompromising perfection' before blessing 1.0

Andrew Kelley interview describes paying monthly for cloud-powered AI coding as an 'insane proposition'

theregister
Before you continue

Defense in depth for autonomous AI agents - https://www.redpacketsecurity.com/defense-in-depth-for-autonomous-ai-agents/

#threatintel
#defense in depth
#agentic AI
#secure autonomy
#least permissions
#deterministic human-in-the-loop

Defense in depth for autonomous AI agents - RedPacket Security

Designing Secure Autonomous AI Agents with Defense in Depth

RedPacket Security

Deterministic modernization in an age of AI

https://video.ut0pia.org/w/anNCoQpDq97vGUZF61zMvP

Deterministic modernization in an age of AI

PeerTube

Whole-Binary Translation

Discover how deterministic, fully-static whole-binary translation can optimize binaries without heuristics.

https://airanked.dev/posts/whole-binary-translation-approach

#BinaryTranslation #Optimization #Deterministic

Deterministic Fully-Static Whole-Binary Translation Without Heuristics

https://arxiv.org/abs/2605.08419

#HackerNews #Deterministic #Whole-Binary #Translation #Static #Analysis #Heuristics #ComputerScience

Deterministic Fully-Static Whole-Binary Translation without Heuristics

We present Elevator, the first binary translator that statically translates entire x86-64 executables to AArch64 without debug information, source code, or assumptions about code layout. Unlike existing systems, which rely on heuristics or runtime fallbacks to handle code-versus-data decoding errors, Elevator considers all possible interpretations of every byte and produces a separate translation for each feasible one ahead of time. Any byte may be interpreted as data, an opcode, or an opcode argument; we generate separate control flow paths for all interpretations, pruning only those leading to abnormal termination. Translations are built by composing code "tiles" automatically derived from a high-level description of the source ISA, yielding a nimble translation framework. The approach is deterministic and produces complete, self-contained binaries with no runtime component in the trusted code base. The principal cost is substantial code size expansion. The key benefit is that the output is the actual code that will run, enabling testing, validation, certification, and cryptographic signing prior to deployment, reducing risk compared to emulators or JIT compilers. We evaluate Elevator on a diverse corpus of real-world binaries, including the entire SPECint 2006 suite, demonstrating that static full-program binary translation can be both reliable and practical. Elevator achieves performance on par with or better than QEMU's user-mode JIT emulation.

arXiv.org
GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations

The AI toolkit for building reliable browser automations - saffron-health/libretto

GitHub
Very similar to SDF (now dbt Fusion) and SQLMesh, altimate-code has #deterministic SQL linter capabilities, not based on scanning the full project via bash that might take minutes, but in seconds and sub-seconds.
Very similar to SDF (now dbt Fusion) and SQLMesh, altimate-code has #deterministic SQL linter capabilities, not based on scanning the full project via bash that might take minutes, but in seconds and sub-seconds.

And we check #limitations the future holds due to the imprecise way of natural language, e.g., "give me the analytics for this week?" Did you mean "from today until last week"?

Or how data workloads need to be #deterministic and #reproducible to backfill faulty data, but AI agents aren't that.