Search Results for "error" - Page 5
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421 projects for "error" with 1 filter applied:
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Clean Code concepts for .NET/.NET Core
Clean Code concepts and tools adapted for .NET
...It adapts widely accepted clean code principles to the .NET ecosystem, providing examples, explanations, and guidelines tailored to C# and related technologies. The repository covers topics such as naming conventions, code structure, error handling, and design patterns, emphasizing readability and long-term maintainability. It encourages developers to adopt disciplined coding habits that reduce technical debt and improve collaboration within teams. The content is structured in a way that allows both beginners and experienced developers to benefit from practical insights and actionable recommendations. ... -
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Reflexion
Reflexion: Language Agents with Verbal Reinforcement Learning
Reflexion is a research-oriented AI framework that focuses on improving the reasoning and problem-solving capabilities of language model agents through iterative self-reflection and feedback loops. Instead of relying solely on a single-pass response, Reflexion enables agents to evaluate their own outputs, identify errors, and refine their reasoning over multiple iterations, leading to more accurate and reliable results. The framework introduces a mechanism where agents maintain a memory of... -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate... -
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MicroQuickJS
Public repository of the Micro QuickJS Javascript Engine
...To stay small and predictable, it supports a subset of JavaScript close to ES5 rather than modern ECMAScript features, which keeps implementation complexity and runtime overhead lower. It also offers a stricter mode that forbids certain error-prone or inefficient constructs, encouraging safer and more deterministic code in embedded environments. -
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better-all
Better Promise.all with automatic dependency optimization
...It addresses a common limitation where developers must manually refactor their promise chains to achieve efficient concurrency when some tasks depend on others, which can be error-prone and hard to maintain. With an object-based API, each task is declared as an asynchronous function that can reference other task results using a magical this.$ context, allowing the library to kick off independent operations immediately and only wait for dependent results when needed. This approach increases readability, reduces boilerplate, and optimizes execution timing based on actual dependency relations rather than naive static ordering. -
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MongoDB PHP Library
The Official MongoDB PHP library
...It provides object-oriented classes for databases, collections, queries, and operations, so PHP developers can compose CRUD and aggregation pipelines without writing low-level protocol code. Built on top of the underlying MongoDB PHP extension, the library handles serialization, connection pooling, and error handling in a way that feels natural in idiomatic PHP. It supports rich query expressions, bulk writes, change streams, transactions, and GridFS, making it suitable for everything from simple content apps to complex data processing services. The project also includes helpers for working with BSON types such as ObjectId, UTC datetime, and decimals, which helps bridge the gap between native PHP types and MongoDB’s storage model. -
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Amper
Build tool for the Kotlin and Java languages
Amper is an open-source data collection and metric reporting agent developed by JetBrains as part of their internal analytics and telemetry infrastructure for IntelliJ-based products. Its purpose is to gather usage statistics, performance metrics, error reports, and other diagnostic signals from IDE installations in a privacy-conscious way to help product teams understand real-world usage patterns and improve quality. Designed to be lightweight and efficient, Amper runs as a background service that batches and securely transmits anonymous data back to analytics pipelines while respecting user privacy settings and opt-outs. ... -
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
...Each lesson favors hands-on examples and short exercises so learners can immediately apply new concepts in code. Later sections typically touch on practical topics such as file I/O, error handling, regular expressions, and simple networking, giving learners a toolbox for everyday scripts and utilities. The material aims to be beginner-friendly while still building habits that matter in real projects, like writing readable functions and testing logic. By the end, students should feel confident writing small to medium programs and be ready to explore web, data, or automation tracks. -
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ExpressJS.com
The Express.js Website
This repository contains the source for the Express web site and documentation, the canonical reference for developers using the Express framework. It organizes material into API reference, getting-started guides, best practices, and topic-focused explanations such as routing, middleware, error handling, templating, and performance. Versioned docs help readers match API behavior to the framework version they’re running, reducing confusion during upgrades. The site showcases common patterns through concise examples, making it easy to translate concepts into working code. In addition to core Express usage, the documentation surfaces ecosystem guidance on things like security headers, structured logging, and integration with view engines or ORMs. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Netflix Maestro
Netflix’s Workflow Orchestrator
...The platform enables engineers and data scientists to define workflows using structured configuration files and execute tasks across diverse compute environments, including scripts, containers, and notebook environments. Maestro provides built-in mechanisms for retry logic, task scheduling, dependency management, and error handling, which are essential when orchestrating production-scale pipelines. -
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Agent Behavior Monitoring
The open source post-building layer for agents
Agent Behavior Monitoring is an open-source framework designed to monitor, evaluate, and improve the behavior of AI agents operating in real or simulated environments. The system focuses on agent behavior monitoring by collecting interaction data and analyzing how agents perform across different scenarios and tasks. Developers can use the framework to observe agent actions in both online production environments and offline evaluation settings, making it useful for debugging and performance... -
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Agentless
An agentless approach to automatically solve software development
...In the final stage, the framework validates potential patches by running regression tests and additional reproduction tests to confirm whether the fix resolves the original error. Based on these results, the system ranks the candidate patches and selects the most reliable solution to submit. -
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Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
...It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. The system then executes those queries against a database and interprets the results, returning human-friendly insights not just raw rows, while learning from errors and successes to reduce repeated mistakes. -
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Trail of Bits Skills Marketplace
Trail of Bits Claude Code skills for security research, vulnerability
Trail of Bits Skills Marketplace is a specialized Claude Code skills marketplace built by the security research firm Trail of Bits that focuses on enhancing AI-assisted workflows for vulnerability discovery, testing, and secure development. The repository groups a set of plug-in skills tailored toward static analysis, code auditing, secure defaults detection, and other practices that matter in software security. Users can easily add the marketplace to a Claude Code environment, browse... -
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jQuery Tips Everyone Should Know
A collection of tips to help up your jQuery game
...Instead of treating jQuery as a black-box tool, the repo surfaces practical advice: from how to handle events more reliably, to proper ways of manipulating the DOM, optimizing performance (e.g. caching selectors), and dealing with common patterns like AJAX, dynamic elements, error handling, and more. For developers who still maintain or build projects using jQuery — especially those working on older codebases or needing cross-browser compatibility — this resource helps avoid subtle bugs, improve maintainability, and write cleaner, more predictable code. -
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Node.js Best Practices
The Node.js best practices list (July 2024)
This repository is a living, community-curated guide to writing robust, maintainable Node.js applications at scale. It organizes advice into clear sections—project structure, error handling, security, testing, performance, reliability, and maintainability—so teams can adopt improvements incrementally. Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be technology-agnostic within the Node ecosystem, providing patterns that work whether you’re using Express, Fastify, Nest, or custom frameworks. ... -
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Flogger
A Fluent Logging API for Java
...Instead of building messages eagerly, it uses lazy parameter evaluation so expensive string building only happens when a log statement is actually emitted. The API encourages structured key–value context and fine-grained rate limiting, which helps keep logs informative without flooding systems during high-traffic or error storms. Handlers (backends) can route the same log record to multiple destinations—console, files, cloud logging—while preserving structured fields for search and alerting. Its fluent style reduces boilerplate and guides developers toward consistent log levels, formatting, and metadata. Because it’s designed for large codebases, Flogger emphasizes performance, binary size discipline, and compatibility with existing logging infrastructures. -
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Google API JavaScript Client
Google APIs Client Library for browser JavaScript, aka gapi
...It includes helpers for incremental auth, token refresh, and scopes so apps can request only what they need when they need it. Responses are returned as promise-based calls with typed parameters derived from service definitions, simplifying error handling and pagination. Because it runs in the browser, it’s a natural fit for single-page apps that integrate deeply with Google services. -
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ArXiv MCP Server
A Model Context Protocol server for searching and analyzing arXiv
arxiv-mcp-server bridges AI assistants and the arXiv repository through a clean MCP interface, enabling search, metadata retrieval, and content access without bespoke scraping. With simple tools like “search” and “fetch,” an agent can find papers, pull abstracts, and download PDFs for downstream summarization or analysis. The project includes packaging and CI to publish to PyPI, plus tests and linting for reliability. Issue threads show feature requests such as extracting embedded LaTeX and... -
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PowerHub
A post exploitation tool based on a web application
PowerHub is a PowerShell-based automation framework designed to centralize and orchestrate common administrative tasks across Windows environments. It exposes a modular command set for inventorying systems, managing services, deploying packages, and executing remote commands with consistent logging and error handling. The project places emphasis on discoverability and reuse: scripts are organized into reusable modules and functions with clear parameter contracts so teams can compose higher-level workflows without duplicating glue code. Authentication and remoting are handled idiomatically via PowerShell remoting or credential stores, enabling both interactive and scheduled runs. ... -
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Ralph AI Agent
AI agent loop that runs repeatedly until all PRD items are complete
...Designed for extensibility, the framework supports multi-model providers so agents can switch between models or fall back based on task needs. It also aims to be practical for production by including logging, error handling, and state persistence so that agents can resume interrupted workflows. -
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Parser for Rust source code
Parser for Rust source code
...The primary target is macro authors: you can parse TokenStreams into syn::File, syn::Item, syn::Expr, syn::Type, etc. It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only compile what you need. The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. Using syn you can effectively write code that analyzes or generates Rust code at compile time. -
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Stable Diffusion WebUI Forge
Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion
Stable Diffusion WebUI Forge is a performance- and feature-oriented fork of the popular AUTOMATIC1111 interface that experiments with new backends, memory optimizations, and UX improvements. It targets heavy users and researchers who push large models, control nets, and high-resolution pipelines where default settings can become bottlenecks. The fork typically introduces toggles for scheduler behavior, attention implementations, caching, and precision modes to reach better speed or quality... -
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Evals
Evals is a framework for evaluating LLMs and LLM systems
...The framework supports templated YAML eval definitions, solver-based evaluations, custom metrics, and composition of multi-step evaluations. It includes utilities and APIs to plug in completion functions, manage prompts, wrap retries or error handling, and register new evaluation types. It also maintains a growing registry of standard benchmarks or “evals” that users can reuse (for example, tasks measuring reasoning, factual accuracy, or chain-of-thought capabilities). The design is modular so you can extend or compose new evals, integrate with your own model APIs, and capture rich metadata about each run (prompt, responses, metrics). -
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Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities...
