[02] Approach
AI-native. Human-led.
Same goal. Different machine.
Traditional agencies scale by adding people. We scale by giving senior engineers an agent fleet — and keeping every decision human.
| Aspect | The old way | The NeuronFX way |
|---|---|---|
| Team shape | Large teams, many hand-offs | Small senior team + agent fleet |
| First prototype | Weeks of meetings | Days, on your real data |
| Testing | A phase before launch | Generated with every change |
| Documentation | Written at the end, if ever | Regenerated on every merge |
| Security | An audit after go-live | Threat-modelled from day one |
| After launch | Support tickets and waiting | 24/7 monitoring, response in minutes |
Human judgment. Machine speed.
Every engagement runs through the same five-stage loop. Senior engineers make the calls. AI agents do the heavy, repetitive work in between — in parallel, around the clock.
01 — DiscoverDays 1–3
We turn a goal into a scope we can defend — risks, constraints and success metrics included.
- Human
- A senior engineer runs the workshop and owns the scope.
- Agents
- Research APIs and competitors, draft user stories, map data flows.
nfx://agents — discover
live
❯ loop start project=nfx-2481 stage=discover
agent.research scanning APIs, competitors, regulations38 sourcesagent.analyst drafting user stories64 storiesagent.analyst mapping data flows11 flowshuman.lead workshop notes merged, risks logged✓ ok● scope v1 locked · estimate ±10%
02 — ArchitectDays 3–5
Architecture, data model and security model — decided by people who have run systems in production.
- Human
- Senior engineers choose the stack and sign off every trade-off.
- Agents
- Draft ADRs, schemas, threat models and cost projections.
nfx://agents — architect
live
❯ architect stack=typescript,postgres,k8s
agent.architect drafting decision recordsADR 001–007agent.security threat model (STRIDE)23 threatsagent.finops projecting infrastructure costRM 1.9k/mohuman.cto review: 2 changes requested → applied✓ ok● architecture signed off
03 — BuildWeeks 1–2
Parallel agents build features, tests and docs. Engineers own the core and review every change.
- Human
- Engineers write the critical paths and review every pull request.
- Agents
- Scaffold features, generate tests, keep documentation current.
nfx://agents — build
live
❯ build sprint=1 agents=12 parallel
agent.dev[01–12] features in flight18agent.test unit + end-to-end generated412 testsagent.docs API reference regeneratedokhuman.review PR #214 approved · #215 changes requested✓ 2 PRs● 14 PRs merged · main is green
04 — VerifyContinuous
Quality is a pipeline, not a phase. Every commit is tested, scanned and measured against a budget.
- Human
- QA and security engineers sign off each release candidate.
- Agents
- Regression suites, SAST/DAST, dependency audits, accessibility checks.
nfx://agents — verify
live
❯ verify pipeline=release/1.0
agent.qa regression suite1,284 passedagent.security SAST · DAST · dependency audit0 criticalagent.perf p95 latency (budget 250 ms)182 mshuman.security penetration test sign-off✓ ok● release candidate approved
05 — Operate24/7
We ship with canaries, watch it around the clock, and keep improving it after launch.
- Human
- On-call engineers respond, fix and plan the next iteration.
- Agents
- Monitor, triage alerts, draft incident reports and optimisations.
nfx://agents — operate
live
❯ deploy env=production canary 10% → 100%
agent.ops health checks48/48 okagent.monitor anomaly watch24/7agent.triage alert → on-call paged00:42human.oncall acknowledged · resolved✓ 6 min● shipped · monitoring live
- Illustrative run. Every project is scoped individually.
Clear roles. No grey zones.
Senior engineershuman.*
Engineers decide.
- Architecture & trade-offs
- Security model & risk
- Critical code paths
- Code review & sign-off
- Your roadmap and priorities
AI agent fleetagent.*
Agents accelerate.
- Scaffolding & boilerplate
- Test generation & regression
- Documentation & changelogs
- Dependency & security scans
- Monitoring & triage
Fast, never reckless.
Speed is only useful if you can trust it. Four rules hold on every project, without exception.
- 01Every change is reviewed by a human.Agents open pull requests; engineers approve them. Nothing reaches production without a named owner.
- 02Your data stays yours.Enterprise model APIs with training disabled, or self-hosted models when required. Secrets never enter prompts.
- 03Measured, not assumed.Test coverage, performance budgets and error rates are tracked on every build — speed never skips quality.
- 04You own everything.100% of the code, designs, infrastructure and documentation — from day one, with no lock-in.
Fair questions, straight answers.
Partly — and always reviewed. Engineers write the critical paths and approve every change. Agents handle the repetitive work: scaffolding, tests, documentation and scans.
Not in our process. Every change passes human review, automated security scanning and tests. Threat modelling happens before building starts.
Work that used to be sequential runs in parallel. While engineers make decisions, agents draft, test and document around the clock.
Usually — fewer hours are spent on repetitive work. But the main benefit is time-to-market and a higher, measurable quality bar.