#runtime-debugging-and-analysis
#runtime-debugging-and-analysis

Scala

Regenesca - Refactoring Generator of Source Code for Scala

Refactoring Generators generates and refactors Scala source code, functioning like a git merge specifically for Scala.

Scala

Scala's Growth Model - Building Inward, Starving Outward

Scala's ecosystem excels internally but struggles to attract new users due to structural and cultural barriers.

Scala

fromYouTube

Regenesca - Refactoring Generator of Source Code for Scala

Refactoring Generators generates and refactors Scala source code, functioning like a git merge specifically for Scala.

Scala

Scala's Growth Model - Building Inward, Starving Outward

Scala's ecosystem excels internally but struggles to attract new users due to structural and cultural barriers.

more#scala

2 days ago

Task Manager's CPU%: an obituary for the recent past

"The CPU number in Task Manager is a moving little obituary for the immediate past," explained former Microsoft engineer Dave Plummer, "Not what happened at the moment that your eyeballs landed on the row."

Productivity

fromRealpython

3 days ago

Gemini CLI vs Claude Code: Which to Choose for Python Tasks - Real Python

Gemini CLI and Claude Code are compared based on performance, user experience, and installation requirements for building a Python CLI-based to-do application.

Data science

fromNature

4 days ago

Got bugs? Here's how to catch the errors in your scientific software

Scientific coding is error-prone, often due to lack of training, making debugging an essential but under-taught skill for researchers.

JavaScript

C++26: Reflection, Memory Safety, Contracts, and a New Async Model

C++26 introduces reflection, enhances memory safety, adds contracts, and establishes a unified framework for concurrency and parallelism.

Your AI agent can read your codebase. It doesn't know your product.

AI coding agents lack design context, leading to generic outputs that don't align with a product's unique interaction patterns and brand identity.

Software development

Is code a cow path?

AI coding agents will progressively assume writing, reviewing, and testing roles, potentially eliminating the need for human review and traditional code artifacts.

UX design

6 days ago

Your AI agent can read your codebase. It doesn't know your product.

AI coding agents lack design context, leading to generic outputs that don't align with a product's unique interaction patterns and brand identity.

Software development

Is code a cow path?

more#ai-coding-agents

Toronto startup

6 days ago

'Technician Aura': the bugs that flee when you arrive

Technician Aura often causes tech issues to vanish when a technician is present, complicating troubleshooting efforts.

#open-source

15 hours ago

Software development

How open source ideals must expand for AI

Software development

I Can't Believe Rust Is Replacing Java

15 hours ago

How open source ideals must expand for AI

Open source must evolve to integrate implementation, specification, and governance for a resurgence in the age of AI.

Software development

I Can't Believe Rust Is Replacing Java

Graves & Kannupriya: Scala Meets GenAI - Build the Cool Stuff with LLM4S [Scala Days 2025]

LLM4S is a comprehensive toolkit for building GenAI applications in Scala, enabling various AI functionalities and workflows.

#ai-coding-assistants

fromDeveloper Tech News

Check Point: AI coding assistants are leaking API keys

AI coding assistants are unintentionally leaking sensitive internal data, including API keys, by ingesting entire workspaces without recognizing sensitive files.

fromDebugging Leadership

Software development

If you thought the speed of writing code was your problem - you have bigger problems | Debugging Leadership

Software development

AI use may speed code generation, but developers' skills suffer

fromDeveloper Tech News

Check Point: AI coding assistants are leaking API keys

AI coding assistants are unintentionally leaking sensitive internal data, including API keys, by ingesting entire workspaces without recognizing sensitive files.

fromDebugging Leadership

If you thought the speed of writing code was your problem - you have bigger problems | Debugging Leadership

Optimizing non-bottleneck steps in a system can worsen overall performance instead of improving it.

more#ai-coding-assistants

Software development

AI use may speed code generation, but developers' skills suffer

How to prevent "You've hit your limit" when working with Claude Code

Reaching usage limits in Claude Code can hinder productivity, but there are practical tips to manage and reduce this risk.

fromThe Bootstrapped Founder

Artificial intelligence

How to Actually Use Claude Code to Build Serious Software

Productivity

fromThe Bootstrapped Founder

How to prevent "You've hit your limit" when working with Claude Code

Reaching usage limits in Claude Code can hinder productivity, but there are practical tips to manage and reduce this risk.

Artificial intelligence

How to Actually Use Claude Code to Build Serious Software

Anthropic tested removing Claude Code from the Pro plan

Claude Code is no longer available on the $20 Pro plan, causing confusion among users before being reinstated.

Latency: The Race to Zero...Are We There Yet?

In the fintech industry we can link latency directly to profit and money. If I have lower latency than the competition, I can get to the better deals, I can make the better deals.

Venture

Productivity

6 days ago

I found the apps slowing down my PC - how to kill the biggest memory hogs

Identifying and managing background processes can optimize PC performance and reduce memory usage.

fromRealpython

Using Loguru to Simplify Python Logging - Real Python

Logging is essential for tracking and debugging applications, and Loguru simplifies this process in Python.

fromKDnuggets

2 days ago

Seeing What's Possible with OpenCode + Ollama + Qwen3-Coder

Build a free, local AI coding assistant using OpenCode, Ollama, and Qwen3-Coder for offline use without subscription fees.

JavaScript

fromPythonSpeed

Timesliced reservoir sampling: a new(?) algorithm for profilers

Random sampling from an unknown-length event stream can effectively identify relevant information without storing all data.

The two-pass compiler is back - this time, it's fixing AI code generation

Multi-pass compilers revolutionized programming by separating analysis and optimization, a model that could enhance AI code generation.

DevOps

New JetBrains platform manages AI coding agents

JetBrains Central connects agents with necessary context and tools, enabling seamless interaction within existing development environments.

Agile

AI Coding Assistants Haven't Sped up Delivery Because Coding Was Never the Bottleneck

AI coding tools increase individual developer output, but project-level gains are modest due to bottlenecks in specification and verification requiring human judgment.

Visual Studio 18.5 lands with AI debugging at a price

Visual Studio 2026 18.5 introduces a smarter code suggestion system and an AI-powered debugger, but developer frustrations persist.

fromRubyflow

The tool I wish I had 25 apps ago

Every iOS app I've shipped over the last nine years started the same way: a Rails developer with a great web app, users who want it in the App Store, and weeks spent on Xcode, signing certificates, and Swift boilerplate that has nothing to do with the actual product.

Anthropic Introduces Agent-Based Code Review for Claude Code

Anthropic launched a Code Review feature for Claude Code, utilizing multiple AI agents to analyze pull requests for bugs and issues.

The AI Coding Pitfalls Report: Facts, Trivia, and Structural Solutions

Engineers must shift from treating LLMs as chatbots to treating them as compilers, implementing a dedicated diagnostic phase to identify AI-specific defects before code merges.

Meta Reports 4x Higher Bug Detection with Just-in-Time Testing

JiT testing improves software quality by dynamically generating tests during code review, enhancing bug detection by approximately 4x in AI-assisted environments.

Using AI to code does not mean your code is more secure

AI tools for coding are introducing vulnerabilities, with significant CVEs linked to AI-generated code.

JavaScript

Metaprogramming: teaching the compiler to explain your data.

Contextual information enhances debugging by providing field names, types, and nested structures.

Java

Java future calls for boosts with records, primitives, classes

Java is advancing record creation, primitive boxing, and pattern matching through multiple JEPs to improve code conciseness and type handling capabilities.

Speed boost your Python programs with new lazy imports

Lazy imports in Python create a proxy object that delays the actual import until the module is needed.

Async Logging Is Not a Silver Bullet - What Actually Limits Performance

Async logging redistributes costs rather than reducing them, impacting performance in different ways depending on implementation.

How Claude Code's new auto mode prevents AI coding disasters - without slowing you down

Claude's auto mode enhances safety by reducing permission prompts while maintaining control over risky commands.

AI slop got better, so now maintainers have more work

AI-generated reports improve quality but increase workload for maintainers, necessitating more reviewers in open-source projects.

AI software development: It works, but it's finicky

AI can write code, but expert developers are essential to correct its errors and ensure quality.

fromwww.sitepoint.com

I Built a Desktop Multi-Agent System That Outperforms Codex and Claude Code

A new open-source project enables the creation of customizable AI swarms for collaborative tasks across various industries.

How Claude Code's new auto mode prevents AI coding disasters - without slowing you down

Claude's auto mode enhances safety by reducing permission prompts while maintaining control over risky commands.

AI slop got better, so now maintainers have more work

AI-generated reports improve quality but increase workload for maintainers, necessitating more reviewers in open-source projects.

AI software development: It works, but it's finicky

AI can write code, but expert developers are essential to correct its errors and ensure quality.

fromwww.sitepoint.com

I Built a Desktop Multi-Agent System That Outperforms Codex and Claude Code

A new open-source project enables the creation of customizable AI swarms for collaborative tasks across various industries.

Breaking Scala's Nil with Java Reflection

Java reflection in Spring Data MongoDB caused a bug in Scala's Nil singleton, revealing a mismatch between Scala's guarantees and JVM behavior.

Microsoft's .NET 11 Preview 2 offers cleaner stack traces

New overloads on TarFile.CreateFromDirectory accept a TarEntryFormat parameter, giving direct control over the archive format. Previously, CreateFromDirectory produced Pax archives. The new overloads support all four tar formats—Pax, Ustar, GNU, and V7—for compatibility with specific tools and environments.

Web frameworks

#ai-coding

Software development

State of Play: AI Coding Assistants

Software development

Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark

State of Play: AI Coding Assistants

Context engineering has evolved significantly in AI coding, focusing on curating information for better results with coding agents.

Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark

Dynamic languages like Ruby, Python, and JavaScript are faster and cheaper for AI coding tasks compared to statically typed languages.

more#ai-coding

JetBrains unveils AI tracing library for Kotlin and Java

Tracy is compatible with Kotlin from version 2.0.0 and Java from version 17. Integrations can be made with SDKs from OpenAI, Anthropic, and Gemini. The library also works with common Kotlin/LLM stacks including OkHttp and Ktor clients, as well as OpenAI, Anthropic, and Gemini ones.

Java

AI is getting scary good at finding hidden software bugs - even in decades-old code

AI models can effectively identify decades-old bugs in legacy code, but this capability also enables hackers to exploit vulnerabilities in deployed systems.

Zero-Effort Production Debugging: How I Automated Bug Fixes for My Side Project

Automating bug fixes with an AI agent streamlines maintenance for full-stack applications, enabling zero-effort management of errors.

Web development

Anthropic's AIbuilt C compiler is not all that impressive

Anthropic's AI-built C compiler is largely a demo, replicating existing knowledge and failing practical basics; it does not signal a revolution in software engineering.

Node JS

WinterTC: Write once, run anywhere (for real this time)

Unified JavaScript runtime standard WinterTC creates a consistent guaranteed API surface across browsers, servers, and edge runtimes to reduce fragmentation.

Working with Code Assistants: The Skeleton Architecture

Combining Vertical Slice architecture with Dependency Inversion and a Skeleton of base classes constrains AI code assistants' context, producing safer, consistent, and maintainable generated code.

#java

fromDevOps.com

Java

Survey Surfaces Massive Amount of Java Technical Debt

3 months ago

Java

Java Is Slow-Until You Use It Like This

Java

Java use in AI development continues to grow - Azul report

fromDevOps.com

Java

Survey Surfaces Massive Amount of Java Technical Debt

3 months ago

Java

Java Is Slow-Until You Use It Like This

Java

Java use in AI development continues to grow - Azul report

CPython vs. PyPy: Which Python runtime has the better JIT?

PyPy remains far faster for raw numerical workloads, but CPython's new native JIT and no-GIL builds close the gap in other workloads and enable threading.

Claude Opus 4.6 spends $20K trying to write a C compiler

Multiple Claude agents autonomously produced a 100,000-line Rust-based C compiler able to build Linux 6.9 on x86, ARM, and RISC-V.

Algorithms Are Just Real Life, Formalized

Which Algorithm Is This? If you step back, this maps almost perfectly to the Top K Frequent Elements problem.We usually solve it for integers in a list. Here, the "elements" are audience profiles age and body-type combinations. First, define what an audience profile looks like: case class Profile(age: Int, height: Int, weight: Int) What we want is a function like this:

Scala

fromNedbatchelder

Testing: exceptions and caches

Kacper Borucki blogged about parameterizing exception testing, and linked to pytest docs and a StackOverflow answer with similar approaches. The common way to test exceptions is to use pytest.raises as a context manager, and have separate tests for the cases that succeed and those that fail. Instead, this approach lets you unify them. I tweaked it to this, which I think reads nicely: One parameterized test that covers both good and bad outcomes. Nice.

7 AI coding techniques that quietly make you elite

Agentic AI tools make a single developer far more productive, enabling rapid cross-platform product creation by encoding design systems, user profiles, and permanent bug lessons.

Mistral's new agent proofs your code on the cheap

Mistral's Leanstral uses formal code verification in Lean programming language to improve AI code generation reliability while offering significantly lower costs than competitors like Claude.

fromPythonmorsels

All iteration is the same in Python

All Python iteration forms use the same iterator protocol; iterating over an object yields its defined iteration items (e.g., dictionary yields keys, string yields characters).

Scala Profiling Under Fire

While the codebase is fresh and grows fast under the umbrella of the local environment, we tend to rely on debugging tools, which were created specifically for that purpose. The app is half-baked, and the code is split open. We observe it through the lens of our IDE and with the speed of our brain. Everything is possible; we may pause execution for minutes, and the whole system is a white box - an open book for us.

Software development

VS Code for Linux may be secretly hoarding trashed files

The reason for this is Snap - a Linux application packaging format - creates a local Trash folder for each VS Code version, one that's separate from the system-managed Trash, according to a VS Code bug report dating back to November 11, 2024. Not only that, but Snap keeps older versions of VS Code after updates, potentially multiplying the number of local Trash folders and the trashed-but-not-deleted files therein. Emptying the system Trash folder doesn't affect the local instances.

Software development

Go 1.26 unleashes performance-boosting Green Tea GC

Go 1.26 introduces self-referential generic parameters, expression operands for new, go fix modernizers, reduced cgo overhead, and multiple runtime and performance improvements.

Go developers mixed on AI coding tools - survey

Most Go developers use AI-powered development tools, but satisfaction with those tools is moderate; 91% report satisfaction with the Go language.

Dev used Claude to build TrapC, memory-safe extension of C

TrapC, a memory-safe C variant with interpreter itrapc and compiler trapc, is nearly ready for testing; code complete and debugging targets a Q1 2026 release.

8 reasons developers love Go-and 8 reasons they don't

Go is a simple, C-like programming language created at Google to simplify building concurrent, networked, large-scale software with safety, performance, and easy learning.

fromSmashing Magazine

Practical Use Of AI Coding Tools For The Responsible Developer - Smashing Magazine

AI coding tools improve developer productivity by handling grunt work, guiding through legacy codebases, and enabling low-risk feature implementation.

frominfiniteundo.com