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:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems)
Find and fix problems in your JavaScript code.
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
Rebalancer is a domain-specific language and tool for specifying and solving assignment problems (eg, putting balls in boxes with complex rules).
A deep dive into the ACPI.sys DPC latency problems on Asus ROG laptops
SpECTRE is a code for multi-scale, multi-physics problems in astrophysics and gravitational physics.
OplaPlanner has moved to https://github.com/apache/incubator-kie-drools. This repository is archived. OptaPlanner is an AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Please post problems or patches to the mailing list for discussion (see the end of the README below).
A Python-embedded modeling language for convex optimization problems.
PyLith is a finite element code for the solution of dynamic and quasi-static tectonic deformation problems.
A lightweight and extensible web interface to keep an eye on your environment. Analyse problems and act on them.
Iterative algorithms for solving linear systems, eigensystems, and singular value problems
The fastest open-source C++17 optimization library for unconstrained nonlinear problems. Header-only, single dependency. Highest reliability, composable function expressions, unconstrained and constrained solvers.
Test case generation framework for competitive programming problems
Winetricks is an easy way to work around problems in Wine
A header-only C++ library for large scale eigenvalue problems
Diagnose problems within WordPress by running a series of checks for symptoms
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
A powerful open-source tool for managing networks and troubleshooting network problems!
A data structure for mathematical optimization problems
Codebattle - Game for programmers, where you solved algorithmic problems with other players in real time. You can fight with other players in single player mode or join massive tournaments.
Numerical answers to all Project Euler problems
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
OOFEM is free finite element code with object oriented architecture for solving mechanical, transport, fluid and multiphysics problems.
Compute various size metrics for a Git repository, flagging those that might cause problems
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Checks for check50
2000+ javascript solutions of leetcode problems.