A technology
practice, not a
software vendor.
FEEL AND HEAL LTD is an independent studio of software engineers, cloud architects, security analysts and data specialists. We work quietly, in small teams, on systems that are expected to keep running.
Our practice is engineering-led and evidence-based. We do not sell packages, seats, or licences. We accept a limited number of engagements each quarter and give each of them attention proportional to the risk involved.
We build the parts of software that other people would rather not think about.
The interesting problems in technology are rarely the visible ones. Underneath every product interface sits a network of decisions about storage, identity, latency, failure and trust. Those decisions are our subject.
We are engineers before we are consultants. We write code, review pull requests, run production incidents, and read logs. The output of an engagement is working software and a paper trail — nothing more, nothing less.
The name of the practice — Feel and Heal — refers to two habits we consider inseparable in this field: sensing what a system is doing, and repairing it without making it worse.
Four disciplines, worked at the same table.
- 01Software engineering
Application, backend, and platform code — written to be read, tested, and eventually replaced.
- 02Cloud & infrastructure
Architecture and operation of distributed systems across major public clouds and private data centres.
- 03Cybersecurity
Threat modelling, review, hardening and response, integrated with the engineering work rather than bolted on.
- 04Data & analytics
Pipelines, warehouses, and analytical models that give decision-makers evidence instead of dashboards.
What we build,
and for whom.
Custom software
Bespoke applications built for a specific operational context, not adapted from a template.
Web applications
Server-rendered and single-page web software with attention to accessibility and performance budgets.
Mobile applications
Native and cross-platform mobile clients that behave predictably on unreliable networks.
Cloud architecture
Reference architectures, migrations, cost review, and multi-region topology work.
Cybersecurity
Threat modelling, code review, penetration-style assessment, incident preparation.
Data engineering
Ingestion, storage, transformation and analytics — with lineage that a regulator can read.
APIs & integrations
Public and internal APIs, third-party integration, event-driven back-ends.
Business automation
Removing repetitive human work from operational processes without hiding it from operators.
Quality assurance
Test strategy, automation, and evidence collection integrated into delivery, not appended to it.
Code that can be read on a Monday morning.
Most of what we do at FEEL AND HEAL LTD is write, review, and refactor application code. We prefer small teams with high context, static typing where the language permits it, and code review as a design conversation rather than a formality.
We do not have a house framework or a preferred stack. We choose tools that a competent successor can still maintain three years after we leave.
Infrastructure
as evidence.
Modern infrastructure is text. Environments, permissions, network policies and secrets are described in files that can be reviewed, versioned, and rolled back. We treat that text with the same seriousness as production code.
Documented topologies for compute, storage, network, and identity.
Move from managed to self-hosted, cloud-to-cloud, or on-prem-to-cloud without downtime windows.
Reading bills, right-sizing, reserved-capacity strategy, waste removal.
SLOs, error budgets, on-call rotations, post-incident review.
Security as a habit, not a product.
We approach cybersecurity as part of engineering practice: threat modelling during design, code review with a security lens, dependency hygiene, secrets management, and incident preparation. We do not sell alarms and we do not resell tools.
- →Application and API threat modelling
- →Source and configuration review
- →Identity, access, and secrets architecture
- →Incident response readiness and tabletop exercises
- →Supply-chain and dependency risk analysis
Evidence beats intuition, provided the evidence is honest.
We build data platforms whose numbers reconcile end-to-end. Every metric can be traced to a source event, a transformation, and a business definition that someone owns.
Batch, streaming, CDC, and third-party pulls with schema contracts.
Modelled storage — dimensional, event, or hybrid — with tested lineage.
Descriptive analytics, forecasting, and applied ML with monitored inputs.
“Transformation” is a word that has been used to sell a great deal of software. We use it narrowly, to describe the deliberate replacement of manual, undocumented, or one-person processes with systems that other people can operate. It is slow, unglamorous, and — done properly — the most durable improvement an organisation can make.
Sectors we accept work from.
Financial services
Payments, treasury, brokerage back-office, reconciliation.
Health technology
Non-clinical software, records, patient-facing scheduling, integrations.
Logistics & supply chain
Fleet, warehouse, and route software; carrier integrations.
Industrial & manufacturing
Shop-floor systems, telemetry, and back-office integration.
Public sector
Records, citizen-facing services, and modernisation of legacy stacks.
Retail & e-commerce
Storefronts, order management, promotion engines, catalogue tooling.
Education technology
Learner platforms, assessment tooling, institutional integrations.
Media & publishing
Editorial systems, delivery infrastructure, rights and metadata.
How an engagement moves from a first note to a running system.
- 01Read
We start by reading — source, tickets, runbooks, contracts. Nothing new is proposed until the existing system is understood on paper.
- 02Frame
A written technical assessment names the problem, the constraints, the options, and the option we recommend. The client signs off on the frame, not a pitch deck.
- 03Design
Architecture is drawn, reviewed, and challenged before any code is committed. Trade-offs are recorded so that later readers know why decisions were made.
- 04Build
Small, reviewed pull requests. Continuous integration from day one. Observability, tests, and documentation land with the feature, not after it.
- 05Operate
Production is not a finish line. We stay long enough to see the system through its first real load, its first incident, and its first change of hands.
- 06Hand over
Documentation is written for a successor, not for us. We prefer to be forgettable.
The tools on the bench.
A partial and honest list of the technologies we work with regularly. It is not a badge collection; it is a working inventory. If a project calls for something not listed here, we say so.
- TypeScript
- Python
- Go
- Rust
- Kotlin
- Swift
- SQL
- Node.js
- Deno
- JVM
- WebAssembly
- .NET
- React
- Vue
- Next.js
- TanStack
- Astro
- Svelte
- Swift/UIKit
- Kotlin/JC
- React Native
- Flutter
- AWS
- Google Cloud
- Azure
- Cloudflare
- Hetzner
- PostgreSQL
- ClickHouse
- Snowflake
- BigQuery
- Kafka
- dbt
- Terraform
- Kubernetes
- Nomad
- Nix
- Docker
- OAuth 2.1
- OIDC
- SLSA
- SBOM
- Vault
A working test is worth more than an aspirational one.
We treat quality assurance as a design discipline. Testing strategy is chosen for each project rather than imposed from a template. We combine unit, integration, contract, and end-to-end tests in the proportion that the system justifies.
Test evidence is produced automatically on every change. Coverage is used as a diagnostic, not a target. Flaky tests are treated as defects, not as noise.
Principles we work by, written down so they can be argued with.
Write it down
If a decision matters, it exists as a document. Verbal architecture does not survive the second engineer.
Small teams, high context
We prefer four people who know the system to twelve who don't. Context beats headcount.
No surprises
Estimates change, incidents happen, scope shifts. We tell clients as soon as we know, not after.
Reversibility first
Where two designs are equally correct, the one that is easier to undo wins.
Boring on purpose
We choose predictable technology, predictable process, and predictable communication. Novelty is a cost.
Handover from day one
Every artefact — code, infrastructure, document — is written for the person who will maintain it, not for us.
Why organisations choose FEEL AND HEAL LTD.
- Fixed methodology applied to every engagement.
- Layered account management and delivery hierarchy.
- Resource-based staffing, adjusted after the contract is signed.
- Deliverables framed as milestones rather than working software.
- Handover treated as a project phase at the end.
- Approach chosen per engagement, described in writing before work begins.
- Direct access to the engineers doing the work.
- A fixed team, named up front and not swapped mid-project.
- Working software in the trunk from the first week.
- Handover treated as a design constraint from day one.
Frequently asked.
- Q01How does an engagement with FEEL AND HEAL LTD typically begin?
- Each engagement begins with a short discovery period in which we read the existing systems, interview the people who operate them, and produce a written technical assessment before proposing scope. Nothing is committed to code until the problem is understood on paper.
- Q02Do you work with existing engineering teams or replace them?
- We work alongside internal engineering teams far more often than we replace them. Our role is usually to add specific capability — cloud architecture, security review, a difficult migration — while the internal team retains ownership of the product.
- Q03Which industries do you accept work from?
- We accept work from organisations in finance, logistics, health technology, industrial software, SaaS, and the public sector. We decline work when we cannot see how to deliver it responsibly.
- Q04How is intellectual property handled?
- All source code, infrastructure definitions, and documentation produced during an engagement belong to the client. We retain no rights over deliverables beyond what is required to reference the work in a general capacity.
- Q05What does long-term maintenance look like?
- After launch we offer a maintenance mode covering monitoring, dependency upgrades, incident response, and periodic architecture review. Maintenance is scoped separately from build work and can be ended at any time.
Written enquiries are
read within two working days.
Enquiries should include a brief description of the organisation, the nature of the work, and any constraints (regulatory, timeline, existing systems) we should be aware of before the first conversation.