Which are the best vibe coding and AI agents classes in Sittingbourne?
On the ONS figures from the 2021 census, 54,390 people lived in the Sittingbourne built-up area and 151,676 in the borough of Swale. The postcode gazetteer records Milton Regis, Kemsley, Murston, Chalkwell, Snipeshill and Bapchild as suburbs of the town. Modern Age Coders teaches vibe coding, AI agents, Python, coding and maths to learners there from six years old to 67. A tutor in India runs each lesson live over video, for one learner alone or for a class of five to ten who are at the same point. We teach learners to give an AI a plan with its limits spelled out, then check that the limits were kept. A first lesson costs nothing and ends with the course we think fits. The Sittingbourne project builds a delivery agent that must drop leaflets at 161 stops with a van that holds only so many, and compares three ways of grouping the stops into trips. From then on it is USD 100 a month to learn in a group, or USD 150 a month one-to-one.
Planning a single round trip is hard enough. Real deliveries add a twist that changes the problem: the van fills up. Once there is a capacity, the question is no longer only "in what order?" but "which stops belong on the same trip?". In 1964 two researchers, Clarke and Wright, published a method that fits in a few lines of arithmetic. Start with the most wasteful plan imaginable, a separate trip to every stop, then keep joining trips wherever joining saves the most distance, as long as the van can carry the combined load. This project runs their savings method on Sittingbourne and checks it against simpler rules.
Facts last verified 30 September 2026. Teaching is online; no Sittingbourne branch is claimed.
There is a course below for each age group. None needs a card to begin, and the first live lesson on each is free.

Children direct an AI to help build Scratch games and learn to check its work against their plan.
See the syllabus
How to think: rules, limits and step-by-step plans, practised on puzzles before code.
See the syllabus
Teen vibe coding in Python and the web, including the Sittingbourne delivery planner.
See the syllabus
Python from zero through to algorithms, automation and agents that respect constraints.
See the syllabusBrowse the course atlas for more than one hundred options and use the coding roadmap to check prerequisites.
The four we are known for
These run underneath everything above. Every one is live and online, placed by ability rather than by age, and the first class is free.

Python, web and AI projects where the learner still owns the thinking.
See the syllabus
Automate the work you already do, then let AI carry part of it.
See the syllabus
Train a model, read what it learned, and be able to say why it is wrong.
See the syllabus
Run AI coding agents on real work without losing control of the codebase.
See the syllabusPopulations from the 2021 census and suburb names from the postcode gazetteer.
| Area | Usual residents |
|---|---|
| Sittingbourne built-up area | 54,390 |
| Swale borough | 151,676 |
The town figure is the ONS built-up area and the borough figure is the whole of Swale; they are counted on different boundaries. postcodes.io records Milton Regis, Kemsley, Murston, Chalkwell, Snipeshill and Grove Park as suburban areas in the ME10 district and Bapchild as one in ME9. Children here are taught the English national curriculum, so a school year from Year 2 to Year 13 is a useful starting point, and we can work alongside GCSE and A level courses.
Also in our Kent set: coding classes in Kent, Maidstone and Gillingham. The reasoning behind how we teach is on learn to think, not just use AI tools.
One depot, 161 stops, 21,414 leaflets and a van that cannot take them all at once.
The ONS splits the Sittingbourne built-up area into 162 census output areas and publishes a centre point for each; by our sum of the area counts they hold 21,521 households. The learner sets up an imaginary leaflet drop: one leaflet per household, left as a bundle at each area's centre. The area whose centre is closest to the average of all the centres becomes the depot, leaving 161 stops that need 21,414 leaflets in all. The van holds 3,000. The worst plan is a separate out-and-back trip for every stop, which comes to 478.2 km in straight lines.
The savings idea is one line of arithmetic. If stops A and B are each served alone, the van drives depot to A and back, then depot to B and back. Serve them on one trip and it drives depot, A, B, depot. The saving is the distance from the depot to A, plus the depot to B, minus A to B. The program works this out for all 12,880 pairs of stops, sorts them with the largest saving first, and goes down the list joining trips end to end whenever the combined load still fits. The largest saving was 5.09 km, for two stops about 2.6 km and 3.1 km from the depot and only 0.54 km from each other.
| Van capacity | Closest-next rule | Clarke-Wright savings |
|---|---|---|
| 2,000 leaflets | 11 trips, 81.5 km | 12 trips, 64.1 km |
| 3,000 leaflets | 8 trips, 64.7 km | 8 trips, 53.8 km |
| 5,000 leaflets | 5 trips, 56.8 km | 5 trips, 45.5 km |
The closest-next rule is what most people would try first: drive to the closest stop that still fits in the van, and go home when nothing fits. With a capacity of 3,000 it needs 8 trips and 64.7 km. The savings method also needs 8 trips but covers 53.8 km, about 17% less, after 153 joins. The 2,000 row holds a surprise. Eleven trips are the fewest that could carry 21,414 leaflets, and the closest-next rule manages it, but the savings method uses 12 trips and still drives less: 64.1 km against 81.5 km. Fewer trips and less distance are different goals, and the algorithm only ever chased distance.
Neither method is proved to give the shortest plan, and the distances are straight lines between area centres, not roads. The leaflet drop and the van sizes are invented for the exercise; the households and locations are real.
Plan deliveries on a paper map with a toy van that holds five parcels, and compare plans by total distance.
Compute the saving for every pair of stops in Python and sort the list.
Code the full method with the capacity check, then test it against the closest-next rule at three van sizes.
Household counts are Census 2021 figures from Nomis and the centre points are ONS population-weighted centroids, both Office for National Statistics data under the Open Government Licence. The depot choice, the leaflet scenario, the capacities and every distance are our own.
An agent that plans without its constraints produces plans that cannot be carried out.
| In the Sittingbourne run | When building with AI |
|---|---|
| The van held 3,000 leaflets | State every hard limit in the prompt |
| Each join was checked against capacity | Make the code enforce limits, not the AI's promise |
| Savings beat closest-next by about 17% | A named method often beats the first idea |
| 12 trips drove less than 11 | Say which goal you are optimising |
| Final loads were verified in code | Test the output, not the explanation |
Vibe coding is making software by talking an AI through what you want. Ask one for a delivery planner without mentioning capacity and you will get a tidy single loop that no van could drive. Our Sittingbourne learners practise writing the limits into the request, asking the AI which algorithm it used, and adding a check that fails loudly if any trip is overloaded. AI agents face the same structure constantly: a budget of tokens, a cap on tool calls, a time limit. Agent projects come after a learner is comfortable in Python, so they are mostly for older teenagers and adults, and Copilot Studio agents are one-to-one only. Two related pages are AI agents for UK students and understand the code, don't copy-paste.
Neither the Office for National Statistics, Nomis nor postcodes.io is associated with Modern Age Coders. Their open data was our starting point; the scenario and the sums are ours.
Tell us the school year and we will propose a stage; the trial lesson settles it.
Plans with rules and limits, tried by hand before any code.
Problem Solving and Computational Thinking for KidsScratch Coding for KidsScratch projects directed by the child and drafted with AI.
Vibe Coding for KidsPython and AI for KidsPlanners, web apps and algorithms with tests attached.
Vibe Coding for TeensPython for TeensPython agents that plan inside budgets and prove they did.
Python MasterclassGenerative AI CourseThe Clarke-Wright savings algorithm builds delivery routes by starting with one trip per stop and repeatedly joining the two trips whose merger saves the most distance without overloading the vehicle; an AI agent can plan deliveries well only if it is given such a method and the capacity limit to respect.
For 161 stops in Sittingbourne and a van holding 3,000 leaflets, one trip per stop came to 478.2 km, a closest-next rule to 64.7 km and the savings algorithm to 53.8 km, each in straight lines.
A learner who has built that planner asks an agent two things before trusting its plan: what limits it was given, and how the result was checked against them.
Sittingbourne teenagers who can write the check themselves are the ones who can safely hand planning to an AI, which is a strong reason to learn to code now. The longer argument is in why teenagers should still learn to code in 2026.
Learners join from home on a computer with a camera. A steady connection matters more than a fast one.
Each learner writes and runs their own code on a shared screen while the tutor asks questions and gives hints.
The free first session shows the learner's real level, and the course choice follows from it.
The opening lesson is not charged and no card is requested.
Everyone in a class is at one stage; classmates join from all parts of the UK.
Kent school holidays are left free when you give us the dates.
The March and October clock changes are handled by the tutor.
Why lessons are live and online
A live tutor can stop and ask "why that line?". An online class can be built from learners at exactly one level, wherever they live.
Sittingbourne learners are on the price list we use for all countries except India.
A free, full-length first lesson that finishes with our recommendation.
Group teaching, in the region of eight lessons a month.
One-to-one teaching, in the region of eight lessons a month.
We quote in US dollars only and give no price in sterling. Nothing is charged before the trial, and the first invoice follows once a course and a regular time are agreed. Details on holidays, missed lessons and changing between formats are on the pricing page.
Rated 4.9 across 547 Google reviews. These are real reviews, reproduced as written.
★★★★★
"The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it. The teachers explain complex concepts clearly with practical exercises and interactive content."
Ria Mukherjee
Parent
★★★★★
"Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I can now confidently write complex programs with ease."
Samriddha Mondal
Student
★★★★★
"One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development."
Vansh Agarwal
Student
★★★★★
"My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative."
Sonam Oswal
Parent of Dhairya
★★★★★
"Modern Age Coders have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence and inspires them to learn without hesitation."
Sonu Goyal
Parent
★★★★★
"I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding."
Ritu Kedia
Parent
Give us an age or school year and something the learner enjoys, and we will plan a trial around it: a toy-van delivery puzzle, a Scratch game built with AI help, first steps in Python, or a small route planner.
The savings method, the delivery project, vibe coding, agents and arrangements.
The ONS built-up area of Sittingbourne had 54,390 usual residents at the 2021 census. The borough of Swale had 151,676.
Yes. They are live online lessons for ages 6 to 67 in Sittingbourne, Milton Regis, Kemsley, Murston and the rest of Swale.
Vibe coding is creating software by describing it to an AI in natural language, then testing and refining what the AI writes.
It is the task of planning trips for one or more vehicles of limited capacity so that every stop is served and total distance or cost is low.
With a 3,000-leaflet van, the savings algorithm served 161 stops in 8 trips and 53.8 km, against 64.7 km for a closest-next rule and 478.2 km for one trip per stop.
It only tries to reduce distance. At a capacity of 2,000 it used 12 trips where 11 were possible, yet drove 64.1 km instead of 81.5 km.
There is no fixed age, but agents need secure Python, so most start in their later teens or as adults. Copilot Studio agents are one-to-one only.
Yes, for GCSE and A level, by teaching the ideas properly. We never guarantee grades.
The first is free. After it, group lessons cost USD 100 a month and one-to-one lessons USD 150 a month.
Yes. Send the holiday dates and we leave those weeks out.
Have a look at Maidstone (finding repeated passages in old essays), Chatham and Gillingham. The Kent page and the UK hub link to all the others.