Guided Agent Development.
The 10-session architecture sprint that transitions enterprise software squads from unmonitored shadow coding tools to governed, high-velocity production delivery.
The Three Strategic Enterprise Risks
When engineering teams adopt autonomous coding tools (Cursor, Claude Code, Cline, Copilot) without centralized systems architecture, organizations face three severe unbudgeted liabilities:
The Rogue Loop Tax
Unmonitored token burn and circular autonomous loops thrash against test suites without merging code, wasting 40%+ of developer AI spend on discarded context churn.
Unscoped Context & Secret Leaks
Without explicit repository boundaries, coding assistants ingest unmasked .env files, cloud keys, and proprietary schemas directly into external LLM prompt streams.
Semantic Debt & Choke-Points
Low-discipline, AI-generated code bloat drives a 2x increase in code churn, overwhelming senior staff engineers with massive pull requests that stall delivery pipelines.
Production Codebase Delivery Only
Zero Synthetic Sandboxes: All agent harnesses, guardrails, and model routing are implemented directly within active production repositories and sprint backlogs. Measurable pull requests ship from Day 1.
The Four Technical Pillars
The architectural scaffolding installed across your repositories to convert unpredictable agent behavior into deterministic engineering output.
1. Interface Design Before Code
We train engineers to break down complex stories, specify explicit interface boundaries, and scope precise context files before triggering agent execution (Spec → Constrain → Test → Commit). We pair on live backlog tickets to author test-driven loops and ship clean, verified diffs.
2. Model Cost Routing & Token Quotas
We deploy deterministic 3-tier model routing: routine refactoring, unit tests, and boilerplate go to fast, low-cost models, reserving frontier models strictly for architectural spike work. Hard context-window clamps eliminate runaway token burn.
3. Knowledgebases & MCP Ground Truth
We wire developer workstations directly to internal OpenAPI schemas, database definitions, and codebase documentation via Model Context Protocol (MCP) servers, grounding agents in verified system state rather than hallucinations.
4. Repository Boundary Governance & Company DNA
We quarantine local secrets, configure repository exclusion manifests, and codify organizational engineering standards into version-controlled AGENTS.md and IDE rulesets, synchronizing agent behavior across Cursor, Claude Code, and Copilot.
How the Engagement Works
Structured across three pragmatic phases. I alternate hands-on pairing days with independent sprint execution so your team builds permanent, self-sustaining capability on active backlogs.
Surveys, Stakeholder Interviews & Quantitative Baselines
Before Day 1, I send targeted surveys to your developers. I analyze the results to customize the kick-off session. Days 2 and 3 are dedicated to business analysis and structured stakeholder interviews with Tech Leads, VP of Engineering, and CISO/AppSec teams to map review bottlenecks, secret perimeters, and tool fragmentation. We aggregate this data to calibrate the rest of the engagement.
- Pre-Engagement & Kick-off: Team survey analysis feeding an aligned kick-off presentation tailored to your stack and team readiness.
- Stakeholder Interviews: Structured interviews with Tech Leads, VP of Engineering, and CISO/AppSec teams to map review bottlenecks, secret perimeters, and tool fragmentation.
- Quantitative Baselines: Measuring PR cycle times, active test counts, how long PRs stay open, and previous month token spend to establish an objective benchmark.
Architecture, Codebase Scans & Rule Codification
We scan your codebase for exposed secrets and PII, auto-scaffold living architecture documentation, and codify your team's existing standards (Definition of Done, Definition of Ready, coding guidelines) into version-controlled repository rules. If you do not have these formalized, we define them together.
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Codebase & PII Scans:
Scanning repositories for secrets and credentials, configuring
.cursorignoreto keep sensitive data out of model contexts. - Living ARCHITECTURE.md: Indexing monorepos and generating living architecture documentation wired directly to local Model Context Protocol (MCP) servers.
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Codifying Rules & Skills:
Translating DOD, DOR, and engineering standards into version-controlled
AGENTS.mdand.cursorrulesfiles.
Hands-On Backlog Delivery & Targeted Pairing Clinics
With boundaries and architecture in place, we go directly hands-on with your backlog. I pair with engineers on active sprint tickets in targeted clinics to unblock workstation agent latency and agent friction in real time, before handing over permanent governance to your lead engineers.
- Backlog Sprint Pairing: Pairing hands-on with developers on active production tasks using interface-first tests and clean diff discipline.
- Targeted Pairing Clinics: Resolving workstation agent latency, tuning model boundary rules in real time, and cementing test-driven loop disciplines directly on active tickets.
- Review Board Handover: Measuring post-implementation PR turnaround and token burn against baseline, then chartering the internal Review Board to govern AI permanently.
The Governance Engine: The Review Board & Company DNA
Tooling without governance inevitably decays. I establish two permanent operational anchors inside your engineering organization so your team maintains velocity and quality without external dependency:
The Review Board
I guide your lead engineers and staff architects to chair their own recurring review rhythm: evaluating agent pull requests, benchmarking new model weight releases, and governing code quality autonomously.
The Company DNA
The Review Board's version-controlled asset: maintaining repository rulesets (AGENTS.md), authoring scoped domain skills, retiring obsolete workflows, and enforcing multi-repo alignment.
10 Sprint Sessions Across 4-5 Weeks
Structured directly around your active sprint cycles. Targeted at 1 flagship delivery squad (5-8 engineers) while training your lead architects to govern the rest of the organization. I work directly alongside your lead developers as a Systems Architect to install durable systems, codify repository standards, and establish permanent in-house capability.
100% In-House Ownership
All configuration files, governance rulesets, AGENTS.md manifests, MCP definitions, and custom tooling harnesses belong permanently to your organization in Git with zero vendor lock-in. Your engineering team retains full control and versioned history of every architectural rule and workflow.
Direct Technical Review : Not a Sales Pitch
A 30-minute peer working session between engineering leaders. We dissect your repository topology, developer tooling friction, and FinOps exposure to determine architectural feasibility.
Topology & Tooling Friction
We analyze your repository structure, IDE toolchains (Cursor, Claude Code, Copilot, CLI), and identify developer bottlenecks, unmerged PR churn, and context drift.
Context Boundaries & Token Quotas
We evaluate repository context perimeters, sensitive file exclusions (.env, keys), and model spend to calculate savings under deterministic routing and fine-grained context bounds.
Cohort Fit & Rollout Scope
We determine cohort fit for 1 flagship squad (5-8 engineers), select high-leverage production repositories, and define Day-1 pull request delivery milestones.
Direct technical session with Younes Baghor (Systems Architect) : Confidential discussion under mutual NDA upon request.