Why we ship AI MVPs in six weeks, not six months
Validated learning beats elaborate roadmaps. The cadence we use to put an AI product in front of real users, and real evals, in six weeks.
Blog
Field notes from an AI-first engineering practice
How we ship LLM features, run agentic workflows, structure AI MVPs, and operate AI products in production, written by the people doing it.
StrategyApr 28, 2026 · 9 min read
The AI Discovery Mission: de-risk AI in four weeks
A four-week structured discovery is how we turn a vague AI ambition into a build-ready plan, vision, evals, architecture, and a defensible budget.
Fixed price vs. T&M for AI engineering: LLM budgets
AI projects break the assumptions behind fixed-price contracts. Here's a pricing framework that aligns incentives between AI vendors and clients.
AI agents in manufacturing: from pilot to production
Production-grade AI agents are quietly absorbing the manual coordination tax in factories. Here's the architecture that's actually working.
AI-native automation across CRM, ERP, and IoT
What changes when LLMs and agents sit at the centre of your business systems, not bolted on, but architecturally native.
Adrenaline: building an AI debugger on top of OpenAI
How we partnered with the Adrenaline team to ship an LLM-powered debugger from MVP to AWS-scale production, in months, not years.
Why senior engineers with AI beat junior copilots
AI copilots compress the productivity gap, but they amplify the architectural one. Why we lean on senior-led pods for AI work.
The art of an AI project handover
Handing over an AI product isn't just code and docs. It's evals, prompt versioning, and the operational runbooks that keep models trustworthy.
Running AI engineering pods across continents
How we operate distributed AI teams without losing the tight feedback loops that LLM work demands.
When to switch your AI engineering partner
Five honest signals that your current vendor is holding back your AI roadmap, and how to make a clean transition.
AI engineering outstaffing, done properly
Cost is not the headline. Velocity, ownership, and AI fluency are. How we set up nearshore AI pods that actually ship.
Lessons from London Tech Week: an AI-first lens
What we heard about agentic workflows, evaluation, and AI go-to-market, and what we're betting on next.
Adrenaline: revolutionising code debugging with AI
How GetAdrenaline partnered with 7Code to build an AI-powered debugger that diagnoses and fixes code issues in seconds, from MVP to production on AWS.
Why MVP first? The case for minimum viable products
Starting lean, learning fast, and building what users actually need, the MVP approach is the most efficient path from idea to product-market fit.
The art of a seamless software project handover
A successful handover is not an event, it is a process. How 7Code ensures clients have full control, full understanding, and full confidence when we hand over the keys.
WordPress vs. custom development: how to choose
WordPress can launch a web presence in days. Custom development can build a competitive moat that lasts years. Here's how to decide which one your business actually needs.
Osai: revolutionising AI interactions with 7Code
How we built Osai, a prompt-sharing platform that unlocks collective intelligence across teams working with GPT-4, Midjourney, and DALL-E.
Low-code vs. custom development: how to choose
Low-code platforms are powerful for standard needs. Custom code is the only answer when your product demands performance, flexibility, and long-term viability.
Dev cost savings through nearshoring and outstaffing
10–30% cost savings are possible, but that is not the headline. Velocity, continuity, and access to senior talent are.
Migrating users between Auth0 tenants in Python
A practical guide to the pitfalls, edge cases, and Python patterns for moving users from one Auth0 tenant to another, without data loss or downtime.
Fixed price vs. time and materials for software
The right pricing model depends on the nature of your project, your budget flexibility, and the level of scope certainty you actually have.
7Code's Discovery Mission: de-risk software builds
A four-week Discovery Mission is the cornerstone of every successful build, producing the product vision, backlog, wireframes, architecture, and delivery plan that make development predictable.
AI-native logistics: beating the coordination tax
Generic logistics platforms cover 60% of the workflow and force teams to absorb the rest in spreadsheets. AI-native, integrated systems absorb the coordination tax and turn real-time data into faster, better operational decisions.
How to change your software service provider
Sunk cost keeps clients with the wrong vendor for months too long. With AI projects the cost of waiting is higher, model choices age out, eval debt compounds. A practical playbook for assessing, securing assets, and switching cleanly.
AWS Beanstalk to ECS Fargate: AI-engineering recipe
AI services need a deploy story Beanstalk cannot give them. A practical recipe for moving a containerised AI workload to ECS on Fargate, with VPC, load balancer, and a GitHub Actions deploy pipeline.
Why I moved AI workloads from Beanstalk to Fargate
After six months on Elastic Beanstalk, the developer experience pushed me to ECS + Fargate. For containerised AI services with token budgets and eval gates, the case is even stronger.
How to Hire Nearshore AI Engineers: A Practical Guide for CTOs
Hiring nearshore AI engineers is faster and cheaper than most CTOs expect — if you evaluate the right signals and avoid the three most common mistakes.
Top 5 Nearshore AI Development Agencies in Europe (2026)
A structured comparison of the leading nearshore AI engineering agencies serving UK and EU clients in 2026, based on delivery track record, team seniority, and AI specialism.
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