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GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. 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VibeSolve
jahala · 2026-06-25 · via Show HN

Describe it.
VibeSolve it.
Optimise it. Schedule it. Route it. Assign it. Sequence it. Pack it. Allocate it. Slot it. Book it. Match it. Ship it. Roster it. Plan it.

VibeSolve is an experimental AI tool that turns plain-English problem descriptions into optimisation projects, exploring where LLMs can add real value to the optimisation workflow. Built on people-first, developer-friendly principles.

Interactive user validation

Review the extracted problem specification in plain English, correct any misunderstandings in real time and ensure the system completely understands your requirements before any code is generated.

Self-healing pipeline

The AI pipeline utilises Docker to automatically collect and fix compile errors in the generated code.

Instant containerisation

Launch the generated solver instantly with a single command and interact with the full Timefold solver through REST endpoints.

Example problems

Scheduling

Assign people to time segments while managing availability, skills, contracted hours, balanced workload, required rest between shifts, and more.

employee shifts school timetables sport tournaments

Vehicle Routing

Plan efficient vehicle routes to minimise travel time and/or cost while respecting capacity constraints, time windows and driver limits.

delivery services waste collection fuel transportation

Assignment

Match the right resources to the right task. This is often paired with other problem types, such as scheduling, in more complex cases. Hospital rostering is a common use case for this combination.

student dorms seat assignment airport gate allocation

And many more

Aside from the popular use cases mentioned here, VibeSolve is particularly well suited to combinatorial optimisation problems based on complex, real-world business rules.

Pricing

VibeSolve

Built for developers and researchers to quickly prototype optimisation solvers.

Free forever

Open source.
 

View on GitHub
  • Interactive user validation
  • Self-healing pipeline
  • Instant containerisation

Need optimisation expertise, consulting and solutions ready for production?

Talk to us

Contact us for a customised offer tailored to your needs.

Get in touch
  • 1:1 assistance with using VibeSolve for your business
  • End-to-end design and development of production-ready optimisation systems
  • Converting prototypes into reliable production-grade systems
  • Performance optimisation of your VibeSolve-generated solver
  • Expert consulting and feedback from optimisation specialists
  • Ensuring successful adoption across a wide range of stakeholders
  • Technological, organisational and cultural best practices from decades of experience

About us

VibeSolve is made by experts

Dots & Lines is a deep-tech company specialised in mathematical optimisation and AI. Based in science, we model business problems, create digital twins and use sophisticated algorithms to increase profits, customer satisfaction and staff happiness.

We believe the best optimisation improves outcomes both for businesses and for the people who keep them running.

Our team

Need consulting or a custom solution? Tell us what you’re working on.

Questions

What is optimisation?

Optimisation is the process of searching for the best solution to a problem. Which nurse works which shift? Which vehicle takes which route? Which exam goes in which room? For many optimisation problems, there is no known algorithm that can find optimal solutions in a reasonable time.

What types of optimisation problems does VibeSolve support?

VibeSolve targets constraint-based combinatorial problems such as employee scheduling, timetabling, vehicle routing and resource allocation. It is suited to problems that require a quick, near-optimal solution. If your problem involves assigning items to other items under a set of rules, VibeSolve is likely to be a good fit.

Who can use VibeSolve?

Anyone with an OpenAI or Claude API key can use it. Whether you’re an AI enthusiast who is new to optimisation or an optimisation expert, VibeSolve aims to lower the barrier and make creating optimisation projects more accessible.

Why should I use VibeSolve when I already have another AI tool?

General-purpose AI tools can write code, but they lack deep knowledge of solver architecture, constraint modelling and validation. VibeSolve is built by experts with PhDs in optimisation and a proven track record of solving real-world problems outside academia. We understand how and why an optimisation project can fail. We know how to make an optimisation project a success.

VibeSolve uses a specialised multi-agent pipeline with embedded optimisation expertise. This gives you excellent output quality as well as good results with smaller LLM models and lower token costs.

Do I need to have my own LLM API key to use VibeSolve?

Yes. VibeSolve is self-hosted and uses your own OpenAI or Claude API key, so you stay in control of costs and data.

Which LLMs are supported?

VibeSolve currently supports OpenAI and Claude models.

What is the expected token usage?

Token usage depends on the selected LLM model and the number of iterations required in the automated fixer loop. VibeSolve supports multiple OpenAI and Claude models and allows you to configure the maximum number of fixer-loop iterations, so you’re in control of token consumption and cost.

For typical usage, see the Benchmarking section, which includes expected cost when using VibeSolve’s default configuration: GPT-5 Mini with a maximum of 10 fixer-loop iterations.

What solver does VibeSolve use? Can I use other solvers?

VibeSolve generates projects built on Timefold Solver (v1.31.0), an open-source, production-grade constraint solver for Java. Support for other solvers is not yet available, but ideas and contributions are welcome.

How do I know the generated code correctly solves my problem?

VibeSolve automatically validates every generated project by compiling and running it in Docker. That said, automated tests can’t replace real software developers and business process experts’ domain expertise. If you want to feel more confident about your production use case, talk to our optimisation specialists for an expert review of your solver.

How can I contribute? Are PRs welcome?

Absolutely! VibeSolve is open source and actively developed. Bug reports, new problem descriptions, prompt improvements, and feature PRs are all welcome. See CONTRIBUTING.md for further contribution guidelines.