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711 articles in this category (Page 11 of 30)

AI NewsSoftware EngineeringFinTech

Solving Ticker Identity: TradingGoose-Market's Canonical Mapping System

TradingGoose-Market provides a self-hostable solution to resolve fragmented asset identifiers across providers like Yahoo Finance and Alpaca.

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AI NewsSoftware EngineeringJava Development

Lessons from Real-World Java and Spring Boot Backend Development

Developer Igor Dev Fullstack details the transition from passive tutorials to building scalable Java backends with Spring Boot in 2026.

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AI NewsAISoftware Engineering

Avoiding the Gap Trap: Why Over-Optimizing AI Tools Stalls Software Engineering

Developer Carlos Enrique Castro Lazaro reports losing 2 days per week to tool optimization, highlighting a critical efficiency trap in AI-integrated workflows.

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AI NewsSoftware EngineeringAI Agents

Cursor Releases TypeScript SDK for Programmatic AI Coding Agents

Cursor launches a TypeScript SDK enabling programmatic access to AI coding agents with sandboxed cloud VMs and intelligent context management for CI/CD.

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AI NewsAISoftware Engineering

Agent Shield: An Open-Source Traffic Control Layer for AI Coding Agents

Agent Shield provides a critical observability layer for AI coding agents, enabling real-time inspection and redaction of HTTP, WebSocket, and SSE traffic to prevent secret leakage.

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AI NewsSoftware EngineeringArtificial Intelligence

Automating Python 3.13 Test Generation with Claude 3.5 Sonnet 2026-02

Claude 3.5 Sonnet 2026-02 reduces Python 3.13 test authoring time by 78% while achieving 92% line coverage for JIT-optimized codebases.

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AI NewsSecuritySoftware Engineering

Building a Rust-Based Auth Server: Achieving OAuth2 Compliance in Under 20MB of RAM

Developer Luis created OVTL, a Rust-based auth server that reduces idle memory consumption from Keycloak's 512MB to under 20MB.

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AI NewsAgentic AISoftware Engineering

Poolside AI Launches Laguna XS.2 and M.1: High-Performance Agentic Coding via MoE

Poolside AI releases Laguna XS.2 and M.1 models, achieving up to 72.5% on SWE-bench Verified using specialized Mixture-of-Experts architectures.

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AI NewsSoftware EngineeringAI Development

Engineering-First AI Development: Why Fundamentals Outperform Vibe Coding

AI coding tools fail as spec-to-code compilers but succeed when paired with vertical slicing and TDD to avoid architectural sediment.

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AI NewsAI DevelopmentSoftware Engineering

Optimizing MCP with Code Mode: High-Efficiency Long-Tail Execution

Code Mode in MCP reduces token usage from 150,000 to 2,000 while enabling complex data joins through native execution engines.

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AI NewsSoftware EngineeringArtificial Intelligence

Why Collaborative Programming Skills are the Key to Effective AI Development

Lucas Rainett demonstrates how applying mob programming techniques to AI coding enables 99% AI-generated code with reduced technical drift.

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AI NewsMachine LearningSoftware Engineering

RMS Normalisation and Residual Connections: Stabilizing Deep Neural Networks

Stabilize deep networks by preventing activation drift and vanishing gradients using RMSNorm and residual connections for efficient training.

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AI NewsDevOpsSoftware Engineering

Podman vs. Docker: Why Migration Costs Outweigh Technical Superiority

Docker maintains a 71.1% adoption rate despite Podman's rootless architecture, as migration costs and toolchain inertia define the modern container landscape.

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AI NewsAI DevelopmentSoftware Engineering

Context Engineering: Optimizing AI Agent Tasks for First-Try Success

Optimize AI agent tasks using context engineering to prevent performance decay after 200 instructions and ensure first-try code generation.

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AI NewsSoftware EngineeringDistributed Systems

The BEAM Runtime: Why Elixir Scales Differently than the JVM

Learn how the BEAM runtime enables Elixir to manage millions of processes with 2KB startup memory and reduction-based preemption for consistent low latency.

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AI NewsAISoftware Engineering

Solving the Data Layer Problem in Agentic AI Systems

Production AI agents fail without a structured data layer; the Model Context Protocol (MCP) provides essential real-time ground truth for factual accuracy.

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AI NewsArtificial IntelligenceSoftware Engineering

The AI “Find Out” Stage: Reliability, Monetization, and Agentic Workflows

HumanX 2026 signals a shift from AI experimentation to agentic reliability as per-token pricing has dropped 200x in under three years.

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AI NewsSoftware EngineeringAI Development

Agent Script: Salesforce's Open Language for Deterministic Agent Orchestration

Salesforce open-sourced Agent Script at TDX 2026 to solve non-deterministic agent behavior by enforcing hard control flow logic over fragile prompt engineering.

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AI NewsBackend DevelopmentSoftware Engineering

Avoiding Critical Data Loss: Lessons from a Backend Project Failure

A developer lost a 14-service microservices backend for the ArogyaNaxa project 48 hours before submission due to Git mismanagement and AI context limits.

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AI NewsSoftware EngineeringAI Agents

Securing Git Workflows Against AI Agent Ambient Authority

Prevent AI agents from publishing unreviewed code by implementing global pre-push hooks and read-only CLI tokens to mitigate automated repository risk.

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AI NewsSoftware EngineeringArtificial Intelligence

How to Verify AI Deliverables: The 5-Point Protocol for Quality Assurance

BobRenze's 5-point verification protocol reduced AI agent "ship and pray" rates from 40% to 8% across 215+ deliverables.

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AI NewsDevOpsSoftware Engineering

Mastering git rm --cached: Removing Files from Tracking Without Local Deletion

Learn to use the git rm --cached command to remove sensitive files from the Index while preserving local data, preventing accidental commits of secrets and heavy dependencies.

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AI NewsSecuritySoftware Engineering

Identifying Supply Chain Risks in the Anthropic SDK Dependency Tree

An audit of the Anthropic SDK reveals transitive dependencies with single maintainers and 15 million weekly downloads, exposing critical supply chain risks.

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AI NewsSoftware EngineeringArtificial Intelligence

Vibe Coding Audit Failure: 96% of Developers Distrust AI-Generated Code

Sonar's 2026 survey reveals a massive verification gap: 96% of developers distrust AI-generated code, yet 46% of new code is AI-produced without consistent review.

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