Themata.AI
Themata.AI

Popular tags:

#developer-tools#ai-agents#discussion#trending#llms#ai-ethics#claude#code-generation#ai-safety#openai

AI is changing the world. Don't stay behind. Clear summaries, community insight, delivered without the noise. Subscribe to never miss a beat.

Β© 2026 Themata.AI β€’ All Rights Reserved

Archive

|

Topics

|

Privacy

|

Cookies

|

Contact
πŸ•’ LatestπŸ”₯ Top

Filtering by tag:

programming-languagesClear
The end of programming β€” Paul Dix
bunrustprogramming-languagesdeveloper-tools
Opinion

The End of Programming

Bun 1.4 includes a rewrite of Bun from Zig to Rust, adding more than 1 million lines of Rust code. Bun creator Jarred Sumner reportedly used a pre-release model called Fable 5, an agent framework that could work in parallel, and an effectively unlimited token budget to complete the initial translation in 11 days. The effort generated 6,778 commits and would have cost about $165,000 at API pricing, according to the account. Agents then continued refining the code for months before the supported release, which Paul Dix says is running on millions of developer machines. Dix argues that AI agents will increasingly write, test and improve software while people specify requirements, build verification systems and assess end results rather than review every line of code. He reports using Fable to build unshipped InfluxDB prototypes: an Iceberg integration in 14 hours and an edge-data replication system in 28 hours, followed by testing and bug fixes. Dix says neither project is production-ready or supported, but both reached end-to-end working implementations. Dix predicts that cheaper, faster frontier models and larger token budgets could make this workflow widely accessible by the end of the following year. He expects organizational inertia to preserve manual programming and code review at many companies, while more productive teams rely on AI-directed software factories and automated verification.

pauldix.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

10 min

8/26/2026

Why Target Common Lisp for Code Generation?

Common Lisp is chosen for code generation due to its unique features and capabilities that may not be present in mainstream languages like Python, TypeScript, or Java. The use of Common Lisp allows for more specialized and nuanced coding practices despite the larger training sets available for more popular languages.

funcall.blogspot.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

4 min

8/12/2026

Go is an ideal language for AI-assisted software engineering

Go is an ideal programming language for AI-assisted software engineering due to its simplicity and efficiency, allowing developers to easily read, clean, and verify AI-generated code. The language's strong support for concurrency and scalability makes it well-suited for building complex systems that AI can help develop.

developers.googleblog.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

8/11/2026

After 7 years in production, Scarf has reluctantly moved away from Haskell

Scarf has transitioned away from Haskell after seven years of production use. The decision reflects challenges faced while using Haskell in their development process.

avi.press

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

7/10/2026

My thoughts on the Bun Rust rewrite

Bun is being rewritten in Rust to improve performance and maintainability. Jarred's early involvement in the Zig community showcased his experimental approach to problem-solving, contributing to his growth as an engineer.

andrewkelley.me

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

7/9/2026

Odin, Wikipedia and engagement farming

Odin is a programming language that has been nominated for deletion on Wikipedia. The situation raises concerns about engagement farming and the impact of community-driven content management on lesser-known programming languages.

katamari64.se

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

37 min

7/3/2026

My thoughts after using Clojure for about a month

Clojure offers a functional programming paradigm that emphasizes immutability and concurrency. Users report a steep learning curve but appreciate its powerful abstractions and simplicity once mastered.

acdw.net

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

6/2/2026

If AI writes your code, why use Python?

The shift in software development priorities has moved from speed of deployment to performance efficiency. As AI tools increasingly write code, languages like Rust, Go, and C++ are gaining traction due to their superior performance, despite longer ramp-up times and smaller talent pools compared to Python and TypeScript.

medium.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

5/11/2026

Uncle Bob: It's Over

Uncle Bob announces the end of a significant phase in his career. He reflects on the impact of software development practices and the evolution of programming.

old.reddit.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

5/3/2026

The seven programming ur-languages (2022)

Learning any programming language is beneficial as it helps grasp fundamental concepts shared across languages. Key programming principles, such as looping through arrays or lists, are consistent in imperative languages.

madhadron.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

9 min

4/19/2026

The End of Programming

Bun 1.4 includes a rewrite of Bun from Zig to Rust, adding more than 1 million lines of Rust code. Bun creator Jarred Sumner reportedly used a pre-release model called Fable 5, an agent framework that could work in parallel, and an effectively unlimited token budget to complete the initial translation in 11 days. The effort generated 6,778 commits and would have cost about $165,000 at API pricing, according to the account. Agents then continued refining the code for months before the supported release, which Paul Dix says is running on millions of developer machines. Dix argues that AI agents will increasingly write, test and improve software while people specify requirements, build verification systems and assess end results rather than review every line of code. He reports using Fable to build unshipped InfluxDB prototypes: an Iceberg integration in 14 hours and an edge-data replication system in 28 hours, followed by testing and bug fixes. Dix says neither project is production-ready or supported, but both reached end-to-end working implementations. Dix predicts that cheaper, faster frontier models and larger token budgets could make this workflow widely accessible by the end of the following year. He expects organizational inertia to preserve manual programming and code review at many companies, while more productive teams rely on AI-directed software factories and automated verification.

pauldix.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

10 min

8/26/2026

Go is an ideal language for AI-assisted software engineering

Go is an ideal programming language for AI-assisted software engineering due to its simplicity and efficiency, allowing developers to easily read, clean, and verify AI-generated code. The language's strong support for concurrency and scalability makes it well-suited for building complex systems that AI can help develop.

developers.googleblog.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

8/11/2026

My thoughts on the Bun Rust rewrite

Bun is being rewritten in Rust to improve performance and maintainability. Jarred's early involvement in the Zig community showcased his experimental approach to problem-solving, contributing to his growth as an engineer.

andrewkelley.me

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

7/9/2026

My thoughts after using Clojure for about a month

Clojure offers a functional programming paradigm that emphasizes immutability and concurrency. Users report a steep learning curve but appreciate its powerful abstractions and simplicity once mastered.

acdw.net

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

6/2/2026

Uncle Bob: It's Over

Uncle Bob announces the end of a significant phase in his career. He reflects on the impact of software development practices and the evolution of programming.

old.reddit.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

5/3/2026

Why Target Common Lisp for Code Generation?

Common Lisp is chosen for code generation due to its unique features and capabilities that may not be present in mainstream languages like Python, TypeScript, or Java. The use of Common Lisp allows for more specialized and nuanced coding practices despite the larger training sets available for more popular languages.

funcall.blogspot.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

4 min

8/12/2026

After 7 years in production, Scarf has reluctantly moved away from Haskell

Scarf has transitioned away from Haskell after seven years of production use. The decision reflects challenges faced while using Haskell in their development process.

avi.press

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

7/10/2026

Odin, Wikipedia and engagement farming

Odin is a programming language that has been nominated for deletion on Wikipedia. The situation raises concerns about engagement farming and the impact of community-driven content management on lesser-known programming languages.

katamari64.se

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

37 min

7/3/2026

If AI writes your code, why use Python?

The shift in software development priorities has moved from speed of deployment to performance efficiency. As AI tools increasingly write code, languages like Rust, Go, and C++ are gaining traction due to their superior performance, despite longer ramp-up times and smaller talent pools compared to Python and TypeScript.

medium.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

5/11/2026

The seven programming ur-languages (2022)

Learning any programming language is beneficial as it helps grasp fundamental concepts shared across languages. Key programming principles, such as looping through arrays or lists, are consistent in imperative languages.

madhadron.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

9 min

4/19/2026

The End of Programming

Bun 1.4 includes a rewrite of Bun from Zig to Rust, adding more than 1 million lines of Rust code. Bun creator Jarred Sumner reportedly used a pre-release model called Fable 5, an agent framework that could work in parallel, and an effectively unlimited token budget to complete the initial translation in 11 days. The effort generated 6,778 commits and would have cost about $165,000 at API pricing, according to the account. Agents then continued refining the code for months before the supported release, which Paul Dix says is running on millions of developer machines. Dix argues that AI agents will increasingly write, test and improve software while people specify requirements, build verification systems and assess end results rather than review every line of code. He reports using Fable to build unshipped InfluxDB prototypes: an Iceberg integration in 14 hours and an edge-data replication system in 28 hours, followed by testing and bug fixes. Dix says neither project is production-ready or supported, but both reached end-to-end working implementations. Dix predicts that cheaper, faster frontier models and larger token budgets could make this workflow widely accessible by the end of the following year. He expects organizational inertia to preserve manual programming and code review at many companies, while more productive teams rely on AI-directed software factories and automated verification.

pauldix.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

10 min

8/26/2026

After 7 years in production, Scarf has reluctantly moved away from Haskell

Scarf has transitioned away from Haskell after seven years of production use. The decision reflects challenges faced while using Haskell in their development process.

avi.press

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

7/10/2026

My thoughts after using Clojure for about a month

Clojure offers a functional programming paradigm that emphasizes immutability and concurrency. Users report a steep learning curve but appreciate its powerful abstractions and simplicity once mastered.

acdw.net

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

6/2/2026

The seven programming ur-languages (2022)

Learning any programming language is beneficial as it helps grasp fundamental concepts shared across languages. Key programming principles, such as looping through arrays or lists, are consistent in imperative languages.

madhadron.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

9 min

4/19/2026

Why Target Common Lisp for Code Generation?

Common Lisp is chosen for code generation due to its unique features and capabilities that may not be present in mainstream languages like Python, TypeScript, or Java. The use of Common Lisp allows for more specialized and nuanced coding practices despite the larger training sets available for more popular languages.

funcall.blogspot.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

4 min

8/12/2026

My thoughts on the Bun Rust rewrite

Bun is being rewritten in Rust to improve performance and maintainability. Jarred's early involvement in the Zig community showcased his experimental approach to problem-solving, contributing to his growth as an engineer.

andrewkelley.me

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

7/9/2026

If AI writes your code, why use Python?

The shift in software development priorities has moved from speed of deployment to performance efficiency. As AI tools increasingly write code, languages like Rust, Go, and C++ are gaining traction due to their superior performance, despite longer ramp-up times and smaller talent pools compared to Python and TypeScript.

medium.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

5/11/2026

Go is an ideal language for AI-assisted software engineering

Go is an ideal programming language for AI-assisted software engineering due to its simplicity and efficiency, allowing developers to easily read, clean, and verify AI-generated code. The language's strong support for concurrency and scalability makes it well-suited for building complex systems that AI can help develop.

developers.googleblog.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

8/11/2026

Odin, Wikipedia and engagement farming

Odin is a programming language that has been nominated for deletion on Wikipedia. The situation raises concerns about engagement farming and the impact of community-driven content management on lesser-known programming languages.

katamari64.se

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

37 min

7/3/2026

Uncle Bob: It's Over

Uncle Bob announces the end of a significant phase in his career. He reflects on the impact of software development practices and the evolution of programming.

old.reddit.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

1 min

5/3/2026