Tiden

Independent verification
for coding agents

Your agent writes the code.
Tiden verifies it’s what was actually asked for.It sits beside your agent and keeps the requirement as a durable record, versioned and merged like code. Your change is checked against that record, not against the session that produced it.

See how it works
$ curl -fsSL https://tiden.ai/install.sh | bash
For engineering teams shipping agent-written code every day.Works beside Claude Code · Cursor · Copilot · Codex

Coding speed went up, but Delivery failed to keep pace

Agents generate features in minutes. Then someone, usually you, spends the rest of the day verifying that the thing actually works.

Your pipeline still runs.
It just can’t tell you the agent built the right thing.

Shipping slows down

Manual verification after every agent session caps your velocity at human-review speed.

Regressions hide

Working features quietly break because no one tested the part of the system the agent didn’t mention.

Agent velocity is wasted

Engineers spend their day undoing and re-prompting instead of designing what to build next.

Output went up,
so did the Risk

Agents change more code, more often, with less human attention on each change. The verification layer that used to catch mistakes was built for a slower, human-paced world.

Intent drift

What the agent built and what the ticket asked for slowly stop being the same thing, and no one notices until it matters.

No systemic control

The standard lives in a document, not in the pipeline. There is no gate that holds a change back, no owner for the exception, and no way to enforce the bar you set.

Testing went up, but
Trust went down

Agents produce results faster than anyone can validate them. Flaky signals, self-written tests and confident summaries stack up until nobody can say which passes actually mean anything.

False positives

Noisy, unreliable signals erode confidence in results until the team stops trusting green and stops reading red.

No evidence for the auditor

Compliance asks what was tested, against which requirement, by whom and when. The answer lives in chat logs and agent transcripts nobody kept.

Context piled up,
Accuracy fell through it

Every time an agent gets something wrong, someone adds another markdown file to stop it happening again. The folder of rules, conventions and architecture notes keeps growing, and the agent keeps getting worse at following any of it.

You can’t document your way to a reliable agent.
Past a point, every page you add makes it dumber.

Context rot

Agent performance degrades as the context window fills. The instruction that matters gets buried under forty others, and the model quietly stops attending to it.

Stale by default

Markdown written for last quarter’s architecture is still being loaded today. Nobody owns it, nobody prunes it, and the agent can’t tell current guidance from dead guidance.

Rules without enforcement

A convention in a .md file is a suggestion. The agent reads it, agrees with it, and violates it three files later, and nothing in the loop notices.

Benefits

Let agents scale coding & execution while you direct & stay in control

Every change is independently verified as it ships, so delivery accelerates while risk and governance stay under control.

Faster delivery

Verification runs continuously alongside coding agents, removing manual review bottlenecks. Changes move from commit to release without waiting, so quality keeps pace with agentic development cycles.

Less risk

Continuously identify what changed and what must be validated. Independent verification detects risk earlier in the cycle and prevents defects from reaching production.

More confidence

Every verified change carries an evidence trail. Built-in approvals, policies, audit logs, and role-based controls give teams the confidence to release, knowing AI operates within defined enterprise guardrails.

Capabilities

A unified verification system for agentic coding SDLC

Tiden brings together context management, intent verification, impact and risk based verification, and evidence into one continuous verification system across the SDLC. Quality no longer depends on checking agent output by hand.

Context Management

The right context reaches every agent at the right moment

Tiden maintains product requirement specs as a living context layer for agents. Instead of looping through trial and error, agents work from an accurate, shared understanding of the product from the first iteration.

  • Context map for agents: all relationships and dependency links maintained as a graph database, so the right context reaches every agent at the right moment.
  • Live behaviour docs: an always-current picture of how the product actually behaves.

Intent Verification

Turn vague asks into verified outcomes

Tiden captures intent up front and continuously checks the work against it, correcting drift before it ships. Agents stay aligned with what was actually asked, so wrong behaviour stops surfacing only after release.

  • Intent capture: turns vague asks into a clear, shared target up front.
  • Verification loops: checks the work against intent and corrects drift before it ships.

Risk Based Regression

Catch regressions before they reach production

Tiden continuously identifies what changed, what it affects, and what must be re-verified. Verification effort is prioritized by impact and risk, so new changes stop quietly breaking what already worked.

  • Impact driven prioritization: maps every change to the behaviour it can affect and focuses verification where the risk is highest.
  • Regression safety net: confirms existing behaviour still works after every change, backed by always up-to-date live test coverage.

Evidence, Visibility & Control

Proof that makes approval quick and confident

Every verified change carries an evidence trail. Stakeholders see exactly what changed and why, false positives stop eroding confidence, and sign-off becomes fast because the proof is already there.

  • Evidence trail: shows stakeholders exactly what changed and why.
  • Fast sign-off: proof that makes approval quick and confident.

Durable verification system that works with your coding agents

Tiden works with every coding agent, stays independent of them all, and grounds verification in structural rules rather than model output. Agents come and go; the record of what was built, verified, and approved endures.

Claude CodeCursorGitHub CopilotOpenAI CodexGemini CLIWindsurf+ any other coding agent

How Tiden works

Every agent session becomes a closed loop. Eight steps running continuously beside your agent, with no new process for your team. You set the thresholds and the gates. A person resolves anything the loop can’t.

01 / 08
Capture intent

What’s in the product

claude code · codex · git hooks

Intent capture

Session hooks record what you asked the agent to build. Distilling a session produces an intent branch.

requirements · branches · merge

Requirements that branch like code

Propose changes on isolated branches, preview the diff, merge with conflict resolution. Main stays clean.

suites · cases · links

A living test repository

Suites, cases and step trees linked to the requirements they verify, structured so agents can keep them current.

pytest · jest · junit · vitest

Reporter ingest

One idempotent endpoint for any test framework, reconciled against stable external IDs. Re-runs never create duplicates.

exploratory · enrichment

Agents on the inside

Tiden’s own agents crawl your product and docs, then propose requirement changes on their own branches.

issues · releases · sourcemaps

Error tracking, closed-loop

DSN ingest groups production exceptions into issues tied to releases, so incidents flow back into requirements.

Connects to the tools your team already uses

GitHub
Jira
Linear
Notion
Azure DevOps

Ship agent code you can prove is right

What was asked, what was built, what was verified, what shipped. Shipping stops being a judgment call and becomes a matter of record.

or write to hello@tiden.ai