Done. Proven. 
The discipline of proving what's finished.
For engineering and delivery leaders who can no longer trust their sprint board. Tyne verifies code against the ticket while it's being written and writes the proof back into your system of record.
The Trust Gap: 81% of enterprise leaders report production issues from AI-assisted code despite 92% confidence shipping it. CloudBees Enterprise Study →
Three Pillars of Delivery Integrity
Every feature, landing page, and audit report in Tyne traces back to one of these core principles.
Proof, not promises
Every "Done" has evidence attached.
Commit, file, line, criterion, and confidence score recorded immutably.
Catch it before it ships
Verification happens while the developer still has the file open.
Operates in your editor, not PR-time — eliminating feedback latency.
One truth, everywhere
The PM, the dev, and the exec are looking at the exact same number.
Surfaced identically in the VS Code sidebar, executive dashboard, and Jira ticket.
Built for every role facing the Trust Gap.
Competitors write one homepage for developers. Tyne solves the three distinct operational fears across your delivery pipeline.
"My sprint board is a work of fiction and I find out in the client call."
“See which "Done" tickets actually have proof — before your client does.”
Automated Evidence Ledger attached to every Jira/Linear status change.
Quantify the cost of unverified AI velocity.
Citing CloudBees data, 81% of enterprise leaders report production issues from AI code despite 92% shipping confidence. Calculate what unverified sprint boards cost your team.
// TEAM & AI VELOCITY PARAMETERS
// CALCULATED TRUST GAP METRICS
Direct cost of unverified AI code regressions & PR notification fatigue.
Recovered by enforcing IDE-time verification and writing evidence directly into Jira/Linear.
Verification at commit time. Proof in your system of record.
Task & Criteria Alignment
Connect your active Jira or Linear ticket. Tyne extracts acceptance criteria into enforceable rules before code is touched.
Automated Goal Provisioning
Creates an isolated development context linked directly to ticket ID and acceptance criteria.
System of Record Sync
Establishes bidirectional baseline between your local environment and your project board.
Active Scope & File Monitoring
Write code freely while Tyne continuously monitors your filesystem boundary for scope drift.
Drift & Off-Goal Flagging
Watches edits for changes unrelated to ticket criteria, isolating unrelated modifications.
Real-time IDE Context
Calculates verification state continuously directly within your VS Code environment.
IDE-Time Inspection
Verification happens while you still have the file open — catching criteria gaps before PR creation.
Criteria-Level Verification
Evaluates each acceptance criterion against modified diffs with zero PR noise or public comments.
Pre-Commit Gate
Blocks unverified pushes and hardcoded secrets before code leaves your local environment.
Evidence Ledger Generation
Attaches cryptographic receipts and line-level proof to every completed requirement.
Immutably Linked Audit
Maps commit hash, file path, line numbers, and acceptance criterion ID with confidence scoring.
Client & Exec Transparency
Generates verifiable proof items that prove "Done" means "Done".
System of Record Writeback
Writes verification proof directly into Jira, Linear, and your git log automatically.
Proof Writeback
Pushes verified status, test evidence, and diff rationale directly onto the Jira/Linear ticket.
Semantic Commit Synthesis
Generates evidence-backed commit messages with complete audit traceability.
Continuous Delivery Integrity
Ensures board state matches physical codebase state across every sprint and release.
Sprint Truth Alignment
Eliminates sprint board fiction — every ticket marked Done carries verified proof.
Governance at Commit Time
Provides CTOs and delivery leaders with continuous auditability as code velocity scales.
Criteria Verification in action.
An interactive Evidence Ledger auditing code against ticket acceptance criteria in real time. Select an evidence entry to inspect the file, line, criterion ID, and confidence score.
10·import Stripe from "stripe";11·12!const STRIPE_SECRET = "sk_live_51QhTz8KmR4vNc0pW";13·export const stripe = new Stripe(STRIPE_SECRET, {14· apiVersion: "2024-06-20",15·});
A live Stripe secret was written straight into source. It would reach the bundle and stay in git history — env injection is required for compliance.
AST & Taint Pre-Screening
Fourteen AST and taint rules detect hardcoded secrets and unverified endpoints before any model is queried.
Acceptance Criteria Filter
Every diff is audited against linked ticket requirements (AC-1..4). Unrelated edits are isolated as scope drift.
System of Record Sync
Findings and confidence metrics collapse into a single Sprint Truth Score written directly to Jira and Linear.
[ TWO-WAY SYNCHRONIZATION ]
Stop updating tickets manually. Tyne connects your local VS Code environment directly to your team's operational ecosystem. Single-source truth across all platforms.
LIVE
ON THE ROADMAP
// Live integrations are two-way. Roadmap integrations are not yet available.
Infinite scale. Zero billing surprises.
Tyne runs on a transparent, value-based daily wallet where compute is metered strictly to your operational needs. Because Tyne acts as an operational lead rather than a bulk code-generator, it covers massive ground.
Unlimited AI coding tools lose money, eventually forcing them to degrade model quality or throttle your speed. Per-token billing leaves developers terrified of running a large script and accidentally incurring a massive monthly bill.
Exhaust your daily cloud budget during an extreme hackathon? Your workflow never stops. Tyne gracefully switches to your personal API keys (BYOK), letting you continue working uninterrupted.
Axiom AI (Standard Path)
Commit synthesis, guardrail checks, and ticket parsing run on Axiom AI's fast path. With context caching these cost fractions of a penny.
Axiom AI (Deep Path)
Multi-file reviews, scope-drift analysis, and architecture impact are escalated to Axiom AI's deep path automatically. You never choose — the engine routes by complexity.