SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World

Programming

LatestTopDiscussed
0
ProgrammingHacker News ·

VSCode's SSH Agent Behavior Raises Concerns Among Developers

A technical blog post published by Fly.io has drawn attention to unusual and problematic behavior in Visual Studio Code's built-in SSH agent. The article, shared on Hacker News, highlights what the author describes as unexpected or erratic functionality in how VSCode handles SSH connections. The post gained traction among developers who rely on remote development workflows through VSCode's SSH features. The discussion points to potential reliability or security concerns with the way the editor manages SSH agent forwarding or authentication.

0 comments Read more at Hacker News
0
ProgrammingDEV Community ·

PostgreSQL 19 to Allow Enabling Data Checksums Online Without Downtime

PostgreSQL 19 introduces the ability to enable data checksums on a live database cluster without requiring a shutdown, a significant improvement over previous versions. Data checksums help detect silent storage or I/O corruption that can cause queries to return incorrect results undetected. Earlier PostgreSQL versions required the offline pg_checksums tool to add checksums, making the process disruptive and time-consuming for production systems. The new pg_enable_data_checksums() function runs the checksum process in the background while the application remains active, with optional throttling to reduce performance impact. PostgreSQL 18 already enables checksums by default for new clusters, but the online feature in version 19 addresses clusters upgraded from older, checksum-free installations.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

DEV and Kaggle Launch Benchmarking Challenge With $2,500 Prize Pool for Five Winners

DEV Community has partnered with Kaggle to host a benchmarking challenge open to developers and data enthusiasts, running until October 11. Participants are required to build a custom AI benchmark on Kaggle, test it against multiple models, and publish a written post on DEV detailing their methodology and findings. Five winners will each receive a $500 cash prize, a DEV++ membership, and an exclusive DEV badge, while all valid submitters earn a completion badge. Submissions will be judged on the quality of insights, writing clarity, and originality of the benchmarking approach. The challenge is open to a wide range of AI capabilities, including reasoning, code generation, tool use, and instruction following.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer shares lessons on immutable storage from building a memory-enabled bot

A developer building a support bot with persistent memory encountered key limitations in how AI applications handle data storage. The project revealed that write operations in such systems function more like queued jobs than immediate saves, and reads can silently return nothing without any error signal. These subtle behaviours caused the bot to repeatedly ask users for information it should have already retained. The experience highlighted how companion and support apps with 'memory' features often lack user-editable controls. The developer shared these findings as practical lessons for others building stateful AI applications.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Atlarix Auto Selects AI Model Per Task Step, Free for Desktop Users

Atlarix has introduced Auto, a model-routing feature in its desktop coding agent that automatically selects the most appropriate AI model for each individual step of a coding task, rather than using a single model throughout a session. The tool handles planning, code editing, command execution, and test runs, routing simpler steps to faster models and complex reasoning or vision tasks to more capable ones. On accounts with no credits, Auto is free in the desktop app by running on OpenAI models through OpenAI's data-sharing program, with users shown a one-time disclosure before their first free message. For Atlarix Pro subscribers ($19/month) or pay-as-you-go credit users, Auto operates in a paid, private mode where no data is shared or used for model training. The desktop app itself is free with all features unlocked, and new installations default to Auto in the model picker.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

MockServer Lets Developers Simulate APIs and Unavailable Systems

MockServer is an open-source tool that acts as a stand-in for systems that are either not yet built or temporarily unavailable. It allows developers to mock HTTP and HTTPS services, enabling teams to continue development and testing without depending on live backends. The tool is particularly useful in scenarios where external APIs or microservices are unreliable or still under construction. By simulating real system responses, MockServer helps reduce bottlenecks in software development workflows. More information and documentation are available on the official MockServer website.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer launches Scissor, a no-AI browser-based vector editor

A developer has built and released Scissor, a free browser-based vector editor available at scissor.samalstudios.com. The tool offers standard vector editing features including shapes, paths, text, and layers, with no AI-assisted design capabilities. The creator built it out of frustration with the growing trend of AI integration in creative software, wanting a lightweight tool that lets users design entirely on their own. Scissor is aimed at casual users, SVG workers, and icon or illustration designers who need a straightforward editor without a steep learning curve. The developer is actively seeking user feedback and is also working on an alternative interface accessible via a separate link on the same domain.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Dev Documents Kubernetes Hard Way Step 8: Controllers, API Server, and a Port Conflict

A developer building a Kubernetes homelab using the 'Kubernetes the Hard Way' guide has completed Step 8, which involves bootstrapping the Kubernetes control plane components. The step required installing and configuring the API Server, Scheduler, and Controller Manager as Linux services on the controller node. While setting up the API Server, the developer hit a failure caused by port 6443 already being in use. Investigation revealed that a forgotten k3s installation from months earlier was occupying the port. Stopping and disabling the leftover k3s service resolved the conflict and allowed the setup to proceed.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Redis Explained: The In-Memory Data Store That Keeps Data Close at Hand

Redis is an open-source, in-memory data structure store widely used as a database, cache, and message broker. Unlike traditional databases that retrieve data from disk storage, Redis keeps data in memory, enabling extremely fast read and write operations. This makes it particularly useful for applications requiring low-latency data access, such as real-time analytics, session management, and caching. Redis supports a variety of data structures including strings, hashes, lists, and sets. Official client libraries, including one for Node.js, are available through the Redis documentation to help developers integrate it into their projects.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

100% Model Agreement, 75% Accuracy: Why Shadow Traffic Metrics Can Mislead

A developer building SuperRouter, an open-source AI routing tool, found that a cheaper model agreed with a reference model 100% of the time during shadow traffic testing, yet was only correct 75% of the time. The finding highlights a core flaw in using inter-model agreement as a quality proxy: two models trained on overlapping data tend to fail in the same direction, making agreement highest where it is least protective. The author argues that evaluation must be scored against known ground truth — using deliberately planted faults with pre-determined correct answers — rather than against another model's output. Additional pitfalls uncovered include undetectable planted defects inflating scores, trivial test cases suppressing false-alarm rates, and published leaderboard rankings transferring poorly to product-specific tasks. The takeaway is that agreement rate is the most intuitive but most misleading metric when routing between AI models to cut costs.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Anthropic Opens Physical Biology Lab Using Claude to Aid Experimental Research

Anthropic has established a wet laboratory in the San Francisco Bay Area, marking its expansion from purely digital AI research into hands-on experimental biology. The company is deploying its Claude AI to assist scientists with literature review, hypothesis generation, and the planning and design of biology experiments. Claude plays a supportive role within human-led workflows rather than autonomously directing research or operating laboratory equipment. The lab creates a feedback loop where AI-assisted analysis can be informed by real experimental results, potentially accelerating scientific workflows. Anthropic's biology efforts also include external partnerships with organizations such as the Allen Institute and HHMI, alongside its previously announced Claude Science initiative.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How to Combine Serilog and EF Core Logs into One File in ASP.NET Core

A technical guide published on DEV Community explains how to route both standard application logs and Entity Framework Core database command logs into a single daily rolling log file using Serilog in ASP.NET Core. The setup requires several NuGet packages, including Serilog.AspNetCore and Serilog.Sinks.File, along with specific configuration entries in appsettings.json. Developers must override the default log level for the Microsoft.EntityFrameworkCore.Database.Command namespace to Information so that SQL commands are captured alongside regular messages. The configuration is wired into the application via Program.cs using the UseSerilog host extension, which reads settings from the app's configuration and enriches log context automatically. An optional project-level flag allows developers to split the output into two separate files — one for general logs and one exclusively for EF Core — if a combined file is not preferred.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

A Practical Guide to Pytest: Key Concepts Explained for Python Beginners

A developer learning Python through building a video clipping CLI application documented the pytest concepts that proved most confusing during the process. The article covers how pytest discovers test files and functions using naming conventions like test_* prefixes, without requiring manual registration. It explains practical topics such as using fixtures, the difference between patch and monkeypatch, when to mock dependencies, and how parametrization differs from loops. The guide also addresses floating-point comparisons using pytest.approx and tips for debugging individual failing tests efficiently. Rather than a complete reference, it serves as a collection of insights aimed at learners building real projects rather than following structured tutorials.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Latent-GRPO Trains AI to Reason in Continuous Vectors, Not Words

Researchers have proposed Latent-GRPO, a reinforcement learning framework that replaces token-based chain-of-thought reasoning with continuous recurrent thought vectors in embedding space. Current AI reasoning models, including DeepSeek-R1 and OpenAI o1, require neural networks to generate lengthy internal monologues as discrete text tokens, consuming 80–90% of generation capacity on prose no human reads. In multi-step engineering tasks, this verbose reasoning exhausts context windows and causes 19–34% of model rollouts to be cut off mid-generation, receiving zero reward and corrupting training signals. Latent-GRPO addresses this by allowing models to cycle through continuous hidden-state vectors internally without emitting vocabulary tokens, removing the vocabulary projection bottleneck. The approach also introduces two-pass gradient replay to enable exact backpropagation through these continuous thought steps during RL post-training.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How to Securely Set Up Terraform and AWS CLI Using IAM Identity Center

A developer guide published on DEV Community outlines a secure method for configuring a local Infrastructure as Code environment using Terraform and AWS CLI. The guide recommends using AWS IAM Identity Center, formerly known as AWS SSO, instead of hardcoding static access keys, as it generates short-lived temporary credentials that reduce security risks. The setup involves enabling IAM Identity Center from the AWS Management Console, creating a dedicated user and permission set, and retrieving the AWS access portal URL for SSO configuration. The author chose us-east-1 as the default AWS region and used AdministratorAccess for initial setup, while noting that production environments should use more restrictive custom permission sets. The guide emphasizes that proper authentication management is as critical as writing the infrastructure code itself.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

OLAP vs OLTP Explained: Roles, Differences, and the Rise of HTAP

OLTP systems are designed to handle high-volume, real-time business transactions such as orders and payments, storing data in a row-oriented format optimized for fast record-level operations. OLAP systems, by contrast, use column-oriented storage and multidimensional data cubes to support complex analytical queries across large datasets. Data typically moves from OLTP to OLAP systems through an ETL pipeline — involving extraction, transformation, and loading into a data warehouse — which introduces a time lag before transactional data becomes available for analysis. The two systems differ fundamentally in purpose, schema design, query patterns, and performance optimization strategies. A newer class of systems called HTAP (Hybrid Transactional/Analytical Processing) is emerging to bridge this gap, enabling both workloads within a single platform.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer shares lessons from building a synced Figma-React design system

A developer building a design system called Skrewww documented key lessons learned while keeping a Figma library and React implementation in sync. The core challenge was not creating more components, but determining what information is canonical, what can be auto-generated, and what still requires human design judgment. The developer found that bundling all component data — props, tokens, documentation, and metadata — into a single definition created drift risks similar to those in code. To address this, the system was restructured into separate layers: one for mechanically verifiable facts and another for design intent and usage guidance. This separation feeds into a pipeline that generates registry metadata, agent contracts, and documentation projections from canonical component sources.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

JavaScript Functions Explained: return, console.log, Closures and Async Basics

A beginner-focused guide breaks down how JavaScript functions work, distinguishing between console.log as a side effect and return as a value-passing mechanism. The article explains that a function call always resolves to a value — either the returned result or undefined by default if no return statement executes. Using consistent examples with variables a=5 and b=10, it walks through four core variations of functions with and without console.log or return statements. It also covers parameters versus arguments, default parameter values, and why inner print statements appear before outer ones during nested calls. The guide aims to demystify common JavaScript output surprises by anchoring them to two foundational concepts: side effects and return values.

0 comments Read more at DEV Community
← NewerPage 979 of 3189Older →