lukla.logic Engineering partner
LUKLA_LOGIC/ SERVICES
Our practice

Four services.
One model.

One senior agentic engineer accountable to you. A fleet of AI coding agents executing under their direction. One point of contact, one contract, one bill, one outcome. Most engagements draw on more than one service — you don't need to choose a category up front.

Looking for software you can buy rather than commission? Intelli Gen is our own AI knowledge & support platform.

<IP>

Intelligent Product Engineering.

Greenfield product engineering for teams who need a working system, not a proof of concept that quietly dies. We handle the full delivery arc: discovery to deployed product, with operational handover that makes the system genuinely yours.

This is the work most teams associate with hiring an agency or a dev shop, and the work agentic engineering compresses most aggressively. A brief that would have taken a conventional team a quarter takes our agentic engineer weeks. The savings come from the structural overhead a team incurs and we don't — no meetings about meetings, no specifications translated through three people before reaching code, no waiting on someone else's branch.

Best fit MVPs that need to be real · second products from established companies · internal tools that have outgrown spreadsheets · anything starting from a clear-ish brief and ending at a deployed system.
What you get
  • Product discovery and requirement capture
    A written brief you sign off before code begins. No ambiguous specs.
  • System architecture, build, automated testing
    Code review on every change. Senior judgment on every decision.
  • CI/CD, observability, security baselines
    Configured from day one — not a phase-two upsell.
  • Post-launch maintenance & iteration
    Feature evolution after the system is live. We stay close.
agent.architect · scaffolding streaming
<AI>

Applied AI & Agentic Systems.

AI built into the product, not bolted on. We design systems where the AI is load-bearing — the model is the product rather than a feature — and engineer them with the production discipline that intelligent systems specifically demand.

Most AI features fail not at the model layer but at the engineering layer around it: brittle prompts, no evaluation pipeline, no version control over behavior, no plan for when the underlying model is deprecated or repriced. We treat those concerns as first-class engineering problems — not afterthoughts.

Best fit AI-native products · intelligent assistants & copilots · automation that requires judgment · any feature where "an LLM call somewhere in the backend" is the starting point and production-grade behavior is the target.
What you get
  • Retrieval-augmented systems & knowledge platforms
    Grounded in your data. Real recall, real provenance, real governance.
  • Agentic workflows & multi-agent orchestration
    Human-in-the-loop controls, tool use, deterministic fallbacks.
  • Evaluation, monitoring, continuous quality
    AI features get the same discipline as the rest of your stack.
  • Model selection, fine-tuning, provider-agnostic orchestration
    No lock-in. Swap models when economics or capabilities change.
retrieval · rerank · generate the shape of a grounded answer
Retrieve
doc.42doc.18doc.07 *doc.91doc.33doc.55doc.12 doc.42doc.18doc.07 *doc.91doc.33doc.55doc.12
Rerank
0.910.870.720.650.510.440.38 0.910.870.720.650.510.440.38
Generate
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<EE>

Enterprise-grade Engineering.

For established organizations that need mission-critical systems built, modernized, or carefully extended. Internal platforms, workflow automation, integrations across enterprise systems, regulated builds, and the patient work of unwinding legacy code without breaking what depends on it.

Enterprise work has its own rules. Things easy in greenfield development — choosing a database, refactoring a module — become committee questions. We bring agentic execution speed into that environment without violating its constraints. The senior engineer handles the conversations with security, compliance, and architecture review; the agents handle the implementation volume that comes out of those conversations.

Best fit Internal tooling at scale · system-of-record modernization · integration projects that have stalled in larger organizations · anything where "must not break production" is the first requirement.
What you get
  • Internal platforms & workflow automation
    For teams that have outgrown their tooling.
  • Data pipelines, integrations, reporting
    Across enterprise sources — ERPs, CRMs, data warehouses, legacy systems.
  • Legacy modernization & gradual re-platforming
    No big-bang rewrites. Strangler-fig migrations, real continuity.
  • Compliance-aware delivery
    Financial services, healthcare, public sector. SOC2/HIPAA/PCI-aware from day one.
delivery process · senior-reviewed cycle live
01 · DESIGN Design arch · spec 02 · BUILD Build code · tests 03 · DEPLOY Deploy release · rollout 04 · SUPPORT Support observe · evolve ★ continuous senior review across every stage
<OM>

Operations Management.

Continuous operation of what gets shipped — whether we built it or inherited it. Operations is a first-class capability at Lukla Logic, not an afterthought, because a system that runs poorly is a system that quietly destroys trust with its users.

We take responsibility for the unglamorous side of software life: the 3am alerts, the slow degradation no dashboard caught, the dependency that needs patching the day a CVE drops, the cost line that doubled because someone misconfigured an instance. Agentic engineering is especially well-suited to operations work, where most tasks are well-defined, repetitive, and benefit from being handled instantly rather than queued for the next sprint.

Best fit Systems that have outgrown operations · post-launch products that need an SRE function but not an SRE hire · any environment where the next twelve months matter more than the last twelve weeks.
What you get
  • Observability, logging, alerting
    Tuned for production health, not noise. SLOs that mean something.
  • Incident response & on-call coverage
    With post-incident review that produces changes, not just reports.
  • Security posture, patching cadence, access discipline
    CVE response in hours, not weeks. Least-privilege by default.
  • Performance tuning & cost optimization
    Continuous improvement on both axes. Engineering, not yak shaving.
operations · what we take on
AVAILABILITY
SLOs
agreed per engagement, then measured against — not a number we picked for a slide.
LATENCY
Budgets
p95 and p99 targets set with you, tracked continuously, regressions caught in CI.
INCIDENTS
On-call
a named engineer, a real rotation, and post-incident review that changes code.
SECURITY
CVE response
dependency patching in hours, least-privilege access, cost and performance reviewed monthly.
what we commit to · reported to you, not published here
Next

Pick the right shape of work — agentic, traditional, or both.

How we engage