Product engineering
Turn a validated idea or stalled roadmap into a focused product that is ready for real users.
You leave with
A launched, observable product and a codebase prepared for the next release.
Founder-led software studio · Guadalajara / worldwide
We build MVPs, rescue AI-generated codebases, and provide fractional CTO leadership — then leave you with tested, documented systems your team can own.
Prefer to talk it through?Book a 30-minute call
Delivery contract
Working software and weekly demos keep decisions grounded in the product.
Tests, CI, monitoring, and documentation are part of delivery, not an afterthought.
Clear architecture, recorded decisions, and a codebase your team can run without us.
Ways to work together
Start with the pressure you are under. We shape the engagement around the outcome, then make scope, evidence, and ownership explicit.
Turn a validated idea or stalled roadmap into a focused product that is ready for real users.
You leave with
A launched, observable product and a codebase prepared for the next release.
Stabilize an AI-generated prototype before hidden debt becomes an outage, rewrite, or failed handoff.
You leave with
An audit, risk-ranked plan, regression coverage, and a maintainable production baseline.
Add experienced technical judgment to architecture, roadmap, hiring, due diligence, and delivery.
You leave with
Decisions tied to business milestones, with a team that knows what to build next and why.
Design MCP tools, retrieval systems, evaluations, and agent workflows that fit the way your team already works.
You leave with
A useful AI capability with explicit boundaries, evidence, and operating costs.
The evidence loop
Our delivery system keeps intent, implementation, behavior, and handoff connected. That is how fast work remains accountable.
Define the product decision, constraints, success criteria, and smallest useful release.
Ship narrow vertical slices with weekly demos and direct access to the senior engineer doing the work.
Test behavior, trace failures, watch production signals, and keep evidence beside every important claim.
Document architecture and decisions so your team owns the system instead of renting our memory.
Tests · CI · Cairntrace · Hitspec · Monitoring · Runbooks
Selected work
A small selection from 27 listed public deployments and a broader open-source workshop. Open the work, inspect it, and decide for yourself.
Who you work with
The Lacanians is an independent software studio led by Abdul Hamid Achik — not a staffing layer between you and the work.
You work directly with the person shaping the architecture, reviewing every release, and translating product pressure into technical decisions. Based in Guadalajara and working worldwide in English and Spanish.
Field notes
Practical notes on AI-native delivery, software architecture, technical leadership, and what happens after the demo.
BlankCode is AI code practice that never forgets how you actually learn: fill-in-the-blank exercises on real code, graded by executing real tests in a real sandbox across six languages, rescheduled by spaced repetition based on exactly what you got wrong.
Cartographer is evidence-first visibility into how AI search engines see a brand, built on multi-tenant Postgres. Three rules we now treat as non-negotiable: the RLS policy is the authority, verify migrations by rebuilding and diffing, and compare timestamps at the precision your data actually supports.
Chalupa spins up short-lived, real DigitalOcean environments straight from the Docker Compose file a project already has. The interesting decisions are about boundaries: what gets exposed, what survives teardown, and which operations are allowed to be irreversible.
A half-built MVP, a fragile AI codebase, or a roadmap without technical leadership — we will help you find the next defensible move.