Vol. I  ·  Zurich  ·  MMXXVI
THE OBSERVABILITY & CONTROL LAYER FOR AI CODING

Meet Nico Your AI coding copilot's copilot.

Session recording, analytics, guardrails, and prompt governance for agentic coding workflows. Built in Zurich. Already in production.

100% session visibility
0 cold starts with memory
Real-time secret detection

AI coding tools are powerful.
But they're flying blind.

72% of organizations adopted AI coding tools. Nearly half lack metrics to evaluate their success. Speed at the individual level doesn't translate to organizational velocity. Here's what keeps coming up.

~50% of organizations lack metrics to evaluate AI tool success Worklytics
10× more security findings shipped by AI-assisted teams Snyk / Forbes
91% longer PR review times despite 21% more tasks completed Faros AI

Can't Prove ROI

"We're spending $100K–$2M/year on AI tools and can't answer the board: is this investment paying off?" CTOs get asked this question and literally can't answer. A majority of leaders expect velocity gains, yet almost none actually measure impact.

  1. 1.1No cost tracking per session, project, or developer
  2. 1.2Token spend invisible — cache hits unmeasured
  3. 1.3Can't correlate AI usage with shipped outcomes
  4. 1.4Board asks "is it paying off?" — no data to answer

Traditional Metrics Are Broken

Lines of code, commit counts, PR volume — all become misleading when AI generates code. Teams that ship 21% more tasks also see 91% longer PR review times. Speed at the individual level doesn't translate to organizational velocity.

  1. 2.1Lines of code meaningless when AI generates them
  2. 2.2PR volume up but review quality down
  3. 2.3Commit counts don't reflect actual progress
  4. 2.4Need session-level metrics, not repo-level vanity stats

Visibility Gap, Not Tool Gap

Leaders can't answer fundamental questions: Which tools deliver measurable value? Where are teams encountering friction? Developers use Copilot, ChatGPT, Claude, and Cursor in the same hour. Only 15% naturally adopt without structured enablement.

  1. 3.1No structured record of what the agent actually did
  2. 3.2Tool calls vanish after the session ends
  3. 3.3Impossible to debug failures post-session
  4. 3.4Multi-tool usage creates blind spots everywhere

Security & Governance Lagging

AI-assisted teams ship 10× more security findings while PR volume actually falls. 40% higher credential exposure in enterprise AI tools. Boards are now saying: "No governance, no deal."

  1. 4.1Secrets exposed in tool calls and prompts
  2. 4.2No permission layer between model and codebase
  3. 4.3Audit logs missing for compliance requirements
  4. 4.4Prompt governance nonexistent across teams

Cold Start, Every Single Time

Each new session starts from scratch. The agent doesn't know what you built yesterday, what failed, or what branch you're on. Context-setting wastes tokens and time. Failure patterns aren't carried forward. It's like onboarding a new developer every morning.

  1. 5.1No memory of previous sessions or decisions
  2. 5.2Repeated context-setting wastes tokens and time
  3. 5.3Branch and git context lost between sessions
  4. 5.4Failure patterns not carried forward

Introducing the
Nico engine.

Analytics & Dashboards

Developer velocity metrics, friction analysis, and API cost tracking. Know your commits per session, time-to-first-commit, tool failure rates, and spend per day.

  1. 2.1Velocity: commits/session, branch cycle time
  2. 2.2Friction: tool failures, edit-test cycles
  3. 2.3Cost: tokens, cache hits, cost per session
  4. 2.410-page static dashboard with live data

Inter-Session Memory

Nico queries past sessions for recent commits, file history, and branch context — so the agent never starts cold. Context is injected automatically based on configurable strategies.

  1. 3.1Cross-session context from same directory
  2. 3.2Failure memory carried forward
  3. 3.3Temporal decay and pinning
  4. 3.4Configurable seeding strategies

Security & Guardrails

Secret detection in tool calls, declarative security policy enforcement, and full audit logging. Every violation is recorded and surfaced.

  1. 4.1Real-time secret scanning (regex patterns)
  2. 4.2Security policy enforcement (tools + paths)
  3. 4.3Audit trail for every violation
  4. 4.4Configurable security profiles

Prompt Governance

Deterministic rewrite rules that transform prompts before they reach the model. Template system with conditions, audit trails, and full traceability.

  1. 5.1Rule-based prompt rewriting pipeline
  2. 5.2Template CRUD with conditions
  3. 5.3Context seeding with budget control
  4. 5.4Full audit trail from prompt to output

Plugin & CLI

Ships as a lightweight plugin with hooks and slash commands. Conversational CLI with session resume, model selection, and built-in commands.

  1. 6.1Hook-based integration into coding workflows
  2. 6.2Slash commands: /status, /sessions, /memory
  3. 6.3Interactive and one-shot CLI modes
  4. 6.4Session resume with --resume flag

Built for speed,
privacy, and control.

Nico deploys into your cloud infrastructure — your VPC, your tenant. Data never leaves your environment and is never used for model training. Hooks into every AI coding session through a lightweight plugin model.

Bun Runtime
Native speed with Bun's built-in HTTP server and embedded database. No Node.js overhead.
Tenant Isolation
Runs in your VPC with dedicated storage. Data never leaves your environment or gets shared across tenants.
Plugin Model
Hooks and shell scripts integrate directly into AI coding tool workflows.
Static Dashboard
10-page HTML dashboard. No framework, no build step. Just open and go.

Different roles,
same blind spots.

CTO / VP Engineering

"Is our AI investment paying off?"

Get cost-per-session, tokens-per-commit, and velocity metrics that connect AI tool spend to shipped outcomes. Answer the board with data, not anecdotes.

ROI tracking Cost analytics Velocity metrics
Engineering Manager

"Where is my team hitting friction?"

See tool failure rates, edit-test cycles, and session modes across your team. Identify which workflows produce results and which waste tokens.

Friction metrics Session analysis Team patterns
Security / Compliance

"What is the AI agent actually doing?"

Full audit trail of every tool call, file edit, and prompt. Secret detection, permission enforcement, and violation logging — all within your environment, all auditable.

Audit trails Secret detection Permission control
Developer

"Why does every session start from scratch?"

Inter-session memory means the agent knows your recent commits, branch context, and past failures. No more re-explaining your codebase every morning.

Session memory Context seeding CLI tools

The observability layer
you actually own.

Every competitor is a SaaS platform that requires sending your data to a third party. Nico is fundamentally different.

Session-Level Depth

SaaS dashboards show repo-level stats. Nico records every tool call, every prompt, every file edit within each session. Micro to macro visibility.

Memory That Compounds

Cross-session context means the agent gets smarter over time. Failure patterns, branch history, and temporal context are injected automatically.

Deterministic Governance

Not just monitoring — active control. Prompt rewriting, permission enforcement, and secret detection happen before the model sees your data.

Nico
SaaS Platforms
Data residency
Your cloud, your tenant — fully isolated
Shared multi-tenant infrastructure
Data usage
Never used for training, never shared
Varies — check vendor DPA carefully
Session recording
Every tool call, prompt, and file edit
Repo-level aggregates only
Inter-session memory
Built-in with configurable strategies
Not available
Prompt governance
Rewrite rules, templates, audit trail
Not available
Secret detection
Real-time, in-session scanning
Post-hoc scanning
Deployment
Your VPC — single command deploy
SSO + API keys + vendor onboarding
Access control
Your IAM, your network, your rules
Vendor-managed access policies

Swiss precision for
AI development workflows.

TechFire AI is a Zurich-based startup building the missing control layer for agentic coding. Nico already has customers in production. We're exploring next steps — including partnerships and acqui-hire opportunities with the right team.

Get the control layer
your AI coding tools are missing.