We build software and place engineering talent - augmented by AI at every step. Less waiting on meetings, more shipping. Turn AI from a buzzword into a delivered outcome.
// Services
Whether you need a feature shipped, a team built, or an internal agent that actually delivers value - we've done it.
Custom software built by small expert teams using AI at every stage - design, code, review, ship. You get senior-team quality at startup speed.
Pre-vetted engineers who already work with AI-augmented tooling. Skip the 90-day ramp; ship from week one. Direct hire, contract, or contract-to-hire.
Custom AI agents wired into your operations - triage tickets, review code, qualify leads, summarize meetings. We build the agents that pay for themselves.
// Why ThinkNext
Anyone can put "AI" on a slide. We've shipped production systems with it for years - and built our own operations around it. That's how we deliver more, in less time, for less money.
Every engagement uses AI in our planning, coding, review, and QA - that's the productivity edge.
No bait-and-switch. The engineer in the demo is the engineer on your project.
Predictable budget for predictable work. T&M only when scope is genuinely open-ended.
Shared Slack, shared issue tracker, shared repo from day one. You see what we're working on, when we're working on it.
| Traditional Agency | ThinkNext | |
|---|---|---|
| Spec phase | 4+ weeks of meetings | 48-hour proposal |
| First shippable code | Week 8 | Week 1 |
| Code review | Human only, 1-day SLA | AI + human, hours |
| Pricing model | Time & materials only | Fixed-price options |
| Communication | Weekly status meeting | Live in Slack & repo |
| Bench developers | Junior staff after pitch | Same senior team, end-to-end |
AI should accelerate experts, not replace them.
Every line of code we ship has a senior engineer's name on it.
// How we build
The pipeline we run for every project. Engineers in the driver's seat, AI doing the heavy lifting, humans approving every merge.
// Open source
Every project is open source, MIT licensed, self-hosted, and built to solve a real problem we hit on client work. We dogfood them on our own engagements before asking anyone else to.
Meeting recording in, tested pull request out. Three on-ramps (meeting, ticket, one-line prompt), 5 LLM providers, 4 VCS providers, 5 issue trackers, 8 languages. Humans approve every gate. Standalone: no inter-package runtime deps.
Label an issue, get a tested pull request. Autonomous, runs in your CI. The hands-off cousin of Cascade for well-scoped tickets. Local CLI shipped; GitHub Actions wrapper in v0.1.1; GitLab CI, Bitbucket Pipelines, and Azure Pipelines in later versions. Standalone.
AI-driven functional testing. Point it at a URL: the agent explores, generates a Playwright test plan, runs it, and reports failed scenarios, visual regressions, accessibility violations, and REST API contract findings. Self-healing on failed steps. Web + visual + a11y + API today; mobile in a future release.
AI PR review. Point it at a pull request URL: it fetches the diff, asks your LLM to review, posts inline comments and a verdict back to the PR. GitHub and GitLab today; Bitbucket and Azure DevOps next. Self-hosted, BYO LLM key.
Production to dev bridge. Pipe log/error events in (Sentry, Datadog, OTel, app logs): Beacon clusters them, summarizes each with your LLM, files one issue per cluster on GitHub or GitLab. Optional Relay handoff turns small clusters into autonomous fix PRs.
// Follow the build
Quiet email list. ~2 emails a month. No marketing fluff.
// Let's talk
We respond within one business day. Fixed-price proposals in 48 hours. No "discovery sessions" or 6-week sales cycles.