No sprints. No waiting.
Daily progress, from day one.
This page is the method, end to end: how your pod is assembled in 5 business days, the six gates every line of code passes, and what a normal Tuesday actually looks like. Send it to your engineering team — it's written for them.
Pod assembly: 5 business days.
30 minutes with an architect. Your product, your constraints, your goals. After the architecture call, your named pod recommendation and day-one delivery plan arrive within 4 business hours.
Architects selected for domain fit — by name, with tenure and track record on the proposal you approve.
Repos, cloud, dashboards, Slack/Teams channels connected. LaunchPad runs in parallel if you're starting fresh.
The pod absorbs your codebase, documents the plan, and sequences the first two weeks of work.
Real code to staging, walked through with you on a live call. From here on: daily.
What we deliver. With receipts.
Anyone can write “senior architects” on a website. Here's how to verify that claim at Wegile.
Not prototypes. Not MVPs abandoned after demo day. Shipped, maintained, and evolved products — some for 9 consecutive years with the same architects.
The architects on your proposal in week one are the architects on your codebase in year four. That's not a promise — it's the measurable reality of our retention model.
Your architect's commit history predates most agencies. When they say they know your architecture, they mean they've been building it — not reading about it.
Wegile AI Delivery OS.
Not a methodology document — a running system. Every engagement runs on the same operating infrastructure: architect-assembled pods, AI-native toolchain, six-gate governance pipeline, and a real-time delivery dashboard. The result is consistent, observable, and compounding.
AI-accelerated requirements mapping, user flow analysis, and architecture estimation — validated by your BA architect before a line of code is written.
AI writes under architect specification. Every change is scoped, spec’d, and governed before it enters the codebase — deployed to staging daily.
AI-generated test suites, security scans, and complexity checks — run on every push. Architect review on every merge. No hallucination reaches production.
Staged deploys to production with full observability. A real-time dashboard — velocity, PRs merged, test coverage, deploy log — updated automatically. No status meetings needed.
Six gates. Every line. Every day.
AI speed with architect-level control — every commit passes six mandatory gates before it reaches production. We build openly with AI, and this is the machinery that makes that safe. Expand each gate to see exactly what runs, what it catches, and who signs off.
Nothing is “vibe-coded.” Your architect writes the specification — interfaces, constraints, edge cases — and AI generates against it inside the governed workflow. The architect’s intent is the input; AI is the typing speed.
Automated analysis on every push: complexity ceilings, style and convention enforcement, dead-code and duplication detection. Machines check the machine before any human spends a minute.
OWASP rulesets, dependency CVE checks, secrets detection, and compliance guardrails enforced on every push. A failed security gate blocks the merge — no exceptions, no overrides.
The gate that matters most. An architect with years on your codebase reads the diff: does the logic hold, does it fit the architecture, will we regret this in a year? AI never approves AI.
Merged work deploys to the mirrored staging environment where generated test suites, e2e flows, and regression packs run against production-identical conditions.
Approved, tested code ships with monitoring, alerting, and rollback armed. Deploys are boring here — which is exactly the point.
That is how AI-native speed becomes safer product delivery: 2X faster product delivery, 70% fewer bugs, and every release governed before it reaches production.
The six gates exist because each of these has actually happened at agencies that don't run them.
Without architect review on every AI-generated line, plausible-looking code with wrong logic reaches your users. Gate 4 exists for exactly this.
Faster generation means faster introduction of CVEs and injection vectors. Gate 3 blocks every merge with a failed security scan — no exceptions, no overrides.
Without complexity and standards enforcement on every push, entropy accumulates in the codebase. Gate 2 stops it before it becomes architectural debt.
Integration failures found in production cost 10× what they cost in staging. Gate 5 runs your full test suite on a mirrored environment before anything ships.
AI can generate at a pace that overwhelms human review. Gate 4 enforces that every diff is genuinely read by an architect with context — not rubber-stamped.
When code is generated without specification, “close enough” accumulates into wrong products. Gate 1 ensures AI writes against an architect's spec, not a guess.
AI Code Governance Checklist.
Every item below is mandatory at Wegile on every merge. Use this checklist when evaluating any AI-native development partner — the answers are quick to check and hard to fake.
Not against a user prompt or a ticket title. An architect defines the spec before AI generates a line.
Standards enforcement and complexity thresholds enforced by tooling — not by review preference.
OWASP checks, dependency audits, injection-vector detection — failures block the merge, no exceptions.
A named architect with tenure on your codebase reviews every diff — not a rubber stamp, a genuine read.
Every PR runs against a staging environment that mirrors production — integration failures caught before they reach users.
Every release is monitored from the moment it ships — performance, errors, and drift tracked continuously.
Which model generated it, under which spec, reviewed by whom, when. Auditable on request at any time.
Every release ships with monitoring and a tested rollback path ready — a bad deploy is reverted in minutes, not diagnosed for hours.
AI at every stage. Expert oversight throughout.
The pipeline governs each line; this is how a whole product moves — from first conversation to a system that keeps improving.
User flows, requirements, and API mapping accelerated by AI analysis — validated by your BA architect.
Gate · Expert review of all findingsSystem design assisted by AI and validated against data — decided by architects with 10+ years of scars.
Gate · Security audit + scalability validationAI writes under architect specification; the six gates govern every line on its way to staging, daily.
2X faster product delivery vs traditionalGenerated test suites, predictive anomaly detection, regression coverage that grows with the product.
Gate · Expert QA review + security testingTelemetry and user behavior feed the roadmap — you stop guessing and start knowing.
Gate · Expert review of all changesWhat it's like, day to day.
Your architects work in your timezone overlap window — real-time collaboration on Slack, Zoom, and your project tool every working day, to discuss architectural decisions, review progress, and solve hard problems together.
Your architects commit to your repository every single working day. No dark weeks, no silent periods. Your architecture evolves continuously, each commit building on what came before.
Every PR is deployed to staging with automated testing. You always have a live, testable version of your system that updates daily — not bi-weekly. Every deployment is verified before it reaches you.
This is your codebase. Your team has full access to commit, review, and comment directly. Your architects work alongside you, not instead of you — collaborating on decisions and building shared understanding.
A real-time dashboard showing tickets completed, PRs merged, deployments, and sprint-free progress. You never have to ask “what's the status?” — the same truth we see, live.
All architects on company-managed devices with endpoint protection, VPN, and encrypted storage. Access controls and audit trails enforced by tooling on every engagement.
Tuesday, for example.
What the first month actually looks like.
LaunchPad configures cloud, CI/CD, staging, and AI tooling. First code committed. You get a live staging URL.
Your pod is in the codebase, shipping features to staging. You see real progress immediately.
Momentum builds. Multiple PRs merged and deployed every day. Staging is always fresh.
You give feedback, the pod implements it — daily, not fortnightly. Real product velocity.
See it for yourself. Daily, from day six.
One call with an architect. Response within 24 hours. After the architecture call, your named pod and day-one plan arrive within 4 business hours.