01. Observer
The system studies your codebase’s structure to build the contextual foundation its subsequent agency depends upon.
No agentic action is taken. The system is proving it understands your world before it presumes to act within it.
Modomics
The System of Agency for Software Economics
Organisations invest millions building software.
The escalating cost of owning it remains invisible.
Module
Economics
Every module in a customer’s portfolio is measured, ranked, and contextualised.
Surfacing cost, value, and the ratio between them.
Updated in real-time with every commit to your main branch.
Modo, your agentic team mate
Insight becomes action. Action becomes proof. Proof earns trust. Trust unlocks further agency.
Much like onboarding a human engineer, Modo joins as an observer: studying your codebase, familiarising itself with your architecture. Human onboarding takes weeks. Modo learns in minutes.
02. Advisor
Modo surfaces recommendations — flagging modules with maintenance burden, identifying complexity outliers, proposing triage based on cost-to-value. Every recommendation is traceable to the objective measurement that produced it. Modo reasons and proposes; the team decides.
03. Contributor
Modo investigates root causes, plans and proposes remediation paths, and opens pull requests — each bounded to a specific task with clear acceptance criteria. Modo acts within human-defined boundaries; your team reviews and approves.
04. Decision Partner
Strategic simulation capability — modelling remediation scenarios, projecting economic impact across quarters, participating in resource allocation decisions. Agency at this stage is earned through demonstrated competence and organisation-specific institutional knowledge that cannot be replicated.
Compiler-grade AST codebase analysis. Zero LLM involvement at the observation layer. Source code never leaves your environment.
Time:Value < ~45 mins
Actionable insights within the hour.
Install GitHub App
A single authorisation step grants read-only access to selected repositories. No build system integration, no agent deployment. Operational in under five minutes.
Epoch Reconstruction
Your codebase’s full economic history is mapped within your secure environment. Full codebase analysis surfacing structural complexity, temporal patterns, sibling-edges and churn hotspots.
Actionable Insights
Every module measured, ranked, and contextualised. Updated in real-time with every commit to your main branch. Modo’s first recommendations surface within 45 minutes.
Ownership, not monitoring
Modomics exists to give you agency over your codebase economics — not to monitor the people who build them.
The system measures modules, not engineers.
Agency, not blind autonomy
When Modo surfaces a high-cost module, the response is prioritisation and remediation — not a performance review.
If a recommendation doesn’t fit your context, it is discarded without consequence.
The system’s agency serves your engineering teams.
Virtuous Cycle
The system’s agency deepens with every revolution. Each cycle compounds understanding, sharpens measurement and earns trust for the next action.
1. Codebase Analysis
Proprietary AST parsing + git archaeology map the structural and temporal reality of the codebase. This is observation, not interpretation: compiler-grade precision, with zero LLM involvement.
2. Objective Measurement
Maintenance Tax and Module Value Score are calculated across every module. Cost & value are quantified, not estimated — creating the context map that prioritises what matters.
3. Actionable Insights
Deterministic pattern recognition surfaces modules that warrant attention: high maintenance burden, complexity density outliers, stagnation indicators. The system raises what has not been noticed.
4. Agentic Investigation
Modo investigates flagged modules with full codebase context: root cause analysis, dependency impact mapping, remediation feasibility. Intelligence becomes understanding.
5. Agentic Remediation
Modo proposes and executes remediation within human-defined boundaries. Every merged PR feeds back into the cycle — recalibrating measurement, sharpening insight, earning trust for the next action.
6. System Calibration
Learns the organisation's specific cost profile: regional salary baselines, team topology, ownership patterns. Generic benchmarks become organisation-specific economics.
Virtuous Cycle
The system’s agency deepens with every revolution. Each cycle compounds understanding, sharpens measurement and earns trust for the next action.
1. Codebase Analysis
Proprietary AST parsing + git archaeology map the structural and temporal reality of the codebase. This is observation, not interpretation: compiler-grade precision, with zero LLM involvement.
2. Objective Measurement
Maintenance Tax and Module Value Score are calculated across every module. Cost & value are quantified, not estimated — creating the context map that prioritises what matters.
3. Actionable Insights
Deterministic pattern recognition surfaces modules that warrant attention: high maintenance burden, complexity density outliers, stagnation indicators. The system raises what has not been noticed.
4. Agentic Investigation
Modo investigates flagged modules with full codebase context: root cause analysis, dependency impact mapping, remediation feasibility. Intelligence becomes understanding.
5. Agentic Remediation
Modo proposes and executes remediation within human-defined boundaries. Every merged PR feeds back into the cycle — recalibrating measurement, sharpening insight, earning trust for the next action.
6. System Calibration
Learns the organisation's specific cost profile: regional salary baselines, team topology, ownership patterns. Generic benchmarks become organisation-specific economics.